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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Formation of a database on agricultural machinery for modeling the production cost</article-title>
      </title-group>
      <contrib-group>
        <aff id="aff0">
          <label>0</label>
          <institution>K.G. Razumovsky Moscow State University of technologies and management</institution>
          ,
          <addr-line>73, Zemlyanoy val, Moscow, 109004, Russian Federation</addr-line>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Samara State Agrarian University</institution>
          ,
          <addr-line>2, Uchebnaja street, Kinel, 446442, Russian Federation</addr-line>
        </aff>
      </contrib-group>
      <abstract>
        <p>The article deals with the problem of adequate provision of information to heads of agricultural enterprises in the daily management decisions related to the plant growing industry. The work purpose is to determine the possibilities of automating the agricultural products cost calculation and the use of the obtained data in solving practical optimization problems in real time. For this, the following tasks were solved: - to formulate an algorithm for forming a database for calculating the cost; - to determine the sources of information for the formation of a database on agricultural machinery for modeling the cost of agricultural products; - to identify the main evaluation criteria and features of their application when optimizing the applied technology based on cost modeling; - determination of the software products capabilities to optimize production processes. The formed database on agricultural machinery and modeling of the production cost of production allow the head of the enterprise in a flexible mode to adjust the results of production activities, justifying their decisions using digital information. Integration of this tool into an optimization system operating in real time, allowing the use of multiple criteria for assessing the results of an enterprise's performance, will avoid multiple errors associated with a lack of initial information for decision-making in the implementation of agricultural activities.</p>
      </abstract>
      <kwd-group>
        <kwd>database</kwd>
        <kwd>optimizing</kwd>
        <kwd>technological maps</kwd>
        <kwd>crops cultivation</kwd>
        <kwd>production costs</kwd>
        <kwd>agricultural machinery</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>
        The modern acceleration of the pace of production has affected not only industry, but
also agriculture. The head of an agricultural enterprise of any level has to make a
large number of production decisions every day that affect the final result of the
activity, which in reality will manifest itself only after a few months [
        <xref ref-type="bibr" rid="ref1 ref2 ref3 ref4 ref5 ref6 ref7">1-7</xref>
        ]. Because of this
time gap, most of these decisions have to be made in conditions of uncertainty due to
the lack of reliable information. Based on this, the goal of the modern IT industry is to
create a system for providing information in real time with elements of optimization,
forecasting, collecting information from the Internet with automatic verification of
their reliability, and using cloud technologies for data storage [
        <xref ref-type="bibr" rid="ref10 ref11 ref12 ref13 ref14 ref8 ref9">8-14</xref>
        ].
      </p>
      <p>One of the components of this future system is real-time modeling of the cost of
production. Solving the optimization problem at the same time, the manager, thanks
to this approach, has the opportunity to choose the best option when formulating a
shift task for the machine operators. In this case, optimization criteria can be very
different: minimization of the final cost of manufactured products, maximum loading
of expensive equipment, fast execution of a technological operation, etc. In this case,
the only limitation is, as practice shows, the preservation of the priorities of the choice
of actions for a long time. Otherwise, with a constant change in the decision-making
basis, the final result of the optimization system will be worse than in its absence
[1521].
2</p>
    </sec>
    <sec id="sec-2">
      <title>Materials and methods</title>
      <p>We tried to correct this shortcoming and adapt the technological map to modern
requirements using the program for calculating technological maps in crop production,
developed at the Department “Economic Theory and Economics of the
AgroIndustrial Complex” of the Samara State Agrarian University. Although attempts at
such adaptation appeared in the periodicals, they were far from perfect and suffered
from a number of shortcomings.</p>
      <p>
        As a basis for the optimization model, you can use programs for calculating
technological maps in crop production. They are a database of agricultural machinery that
can be used in agricultural production in a variety of ways. Each of these alternatives
has its own set of characteristics, which ultimately affect the formation of the cost of
production (Figure 1) [
        <xref ref-type="bibr" rid="ref22 ref23 ref24 ref25 ref26 ref27 ref28 ref29">22-29</xref>
        ].
      </p>
      <p>Fig. 1. Initial menu of database formation.</p>
      <p>The work purpose is to determine the possibilities of automating the agricultural
products cost calculation and the use of the obtained data in solving practical
optimization problems in real time. For this, the following tasks were solved: - to formulate
an algorithm for forming a database for calculating the cost; - to determine the
sources of information for the formation of a database on agricultural machinery for
modeling the cost of agricultural products; - to identify the main evaluation criteria
and features of their application when optimizing the applied technology based on
cost modeling; - determination of the software products capabilities to optimize
production processes.
3</p>
    </sec>
    <sec id="sec-3">
      <title>Results and discussion</title>
      <p>
        The main condition for the adequate operation of the cost modeling system is the
formation of a database on the equipment used on the basis of reliable information
about the performance of the units, the amount of production costs [
        <xref ref-type="bibr" rid="ref30 ref31 ref32 ref33 ref34 ref35">30-35</xref>
        ]. In the
conditions of the Russian Federation, the most preferred source of information about
their work is test tests carried out by the Zonal Machine Testing Stations. Their task is
to analyze the capabilities of technology in the conditions of the region for the most
common technologies for the cultivation of agricultural crops. This takes into account
the effect on productivity of the characteristics of common soils, temperature modes
of operation, the duration of daylight hours, etc. (Figure 2) [
        <xref ref-type="bibr" rid="ref36 ref37 ref38 ref39 ref40 ref41 ref42">36-42</xref>
        ].
      </p>
      <p>Fig. 2. Scheme of creating a new technological option.</p>
      <p>The considered program for calculating technological maps in crop production is
the various operations database, sets of equipment, technological options. The source
of replenishment of this base is the reports on the testing of equipment carried out by
the zonal machine-testing stations, of which there are currently eleven left (Altai,
Vladimir, Kirov, Kuban, Povolzhsky, Podolsky, North-Western, North Caucasian,
Siberian, Central Chernozem and State Testing Center) (Figure 3).</p>
      <p>
        Hundreds of equipment various types tests are carried out annually. Their results
can be found in the public domain. In the process of type tests in accordance with
OST 10 1.1-98, the following list of assessment types is carried out: 1. Technical
expertise. 2. Assessment of functional indicators: - agrosotechnical assessment;
technological assessment (for equipment for processing agricultural raw materials). 3.
Energy assessment (assessment of the electric drive). 4. Assessment of product safety
and ergonomics. 5. Operational and technological assessment. 6. Assessment of
reliability. 7. Economic assessment [
        <xref ref-type="bibr" rid="ref43 ref44 ref45 ref46 ref47 ref48 ref49">43-49</xref>
        ] (Figure 4).
      </p>
      <p>Fig. 4. Menu "Power machines"</p>
      <p>To form a database on agricultural machinery for modeling the cost of production,
it is proposed to use the following scheme (Figure 2). It allows you to create a new or
use an existing set of "work-operation-aggregate" to replenish the existing database.</p>
      <p>When creating a new operation (Figure 3), you must select the work group to
which it belongs and indicate the specific parameter characteristic of this operation
(application rate, processing depth, etc.)</p>
      <p>Next, a card is formed for a new type of power machines (Figure 4). In the given
example, this is the Tractors group, the K-744 brand (tractor of the 5th class).
Information on the cost can be obtained on the website of the Ministry of Agriculture of
the Russian Federation, where monthly data on the purchase prices of the main types
of equipment are published or on the basis of the current price lists of manufacturers
(Figure 6).</p>
      <p>The values of the indicators "Annual load", "Ratio of deductions for repairs", "Fuel
consumption", "Oil consumption", "Fuel type" can be obtained from the reports of
typical tests of agricultural machinery of zonal machine test stations. The service life
is determined on the basis of the Fixed Assets Classifier (Figure 7).</p>
      <p>The final stage is the formation of working units, the use of which is assumed
according to the technology. To combine the power machine and agricultural
equipment, initially in the menu "Selecting the composition of the unit" their compliance is
determined within the technological option (Figure 6) and the number of agricultural
machines to be coupled is indicated.</p>
      <p>Subsequently, the values of the parameters of the units and their characteristic
features are determined (the number and qualifications of workers, the shift ratio, the
width of the unit and the special parameters of the operation (in this case, the plowing
depth)).</p>
      <p>To calculate the filled-in table, click on the "Calculation" button in the "New map"
window.</p>
      <p>After the calculation is completed, the "Calculation Results" window will appear
on the screen, in which you can specify the necessary additional information.
The formed database on agricultural machinery and modeling of the production cost
of production allow the head of the enterprise in a flexible mode to adjust the results
of production activities, justifying their decisions using digital information.
Integration of this tool into an optimization system operating in real time, allowing the use of
multiple criteria for assessing the results of an enterprise's performance, will avoid
multiple errors associated with a lack of initial information for decision-making in the
implementation of agricultural activities.</p>
    </sec>
  </body>
  <back>
    <ref-list>
      <ref id="ref1">
        <mixed-citation>
          1.
          <string-name>
            <surname>Sorokina</surname>
            ,
            <given-names>O.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Fomkin</surname>
            ,
            <given-names>I.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Petrova</surname>
            ,
            <given-names>L.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Zatsepina</surname>
            ,
            <given-names>E.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Mamedova</surname>
          </string-name>
          , E.:
          <article-title>Automated substantiation of multivariate land use planning projects</article-title>
          .
          <source>E3S Web of Conferences</source>
          <volume>164</volume>
          ,
          <issue>07021</issue>
          (
          <year>2020</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref2">
        <mixed-citation>
          2.
          <string-name>
            <surname>Volkov</surname>
            ,
            <given-names>S.N.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Cherkashina</surname>
            ,
            <given-names>E.V.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Shapovalov</surname>
            ,
            <given-names>D.A.</given-names>
          </string-name>
          :
          <article-title>Digital land management: New approaches and technologies</article-title>
          .
          <source>IOP Conference Series: Earth and Environmental Science</source>
          <volume>350</volume>
          ,
          <issue>012074</issue>
          (
          <year>2019</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref3">
        <mixed-citation>
          3.
          <string-name>
            <surname>Khayrzoda</surname>
            ,
            <given-names>S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Morkovkin</surname>
            ,
            <given-names>D.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Gibadullin</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Elina</surname>
            ,
            <given-names>O.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Kolchina</surname>
          </string-name>
          , E.:
          <article-title>Assessment of the innovative development of agriculture in Russia</article-title>
          .
          <source>E3S Web of Conferences</source>
          <volume>176</volume>
          ,
          <issue>05007</issue>
          (
          <year>2020</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref4">
        <mixed-citation>
          4.
          <string-name>
            <surname>Polunin</surname>
            ,
            <given-names>G.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Alakoz</surname>
            ,
            <given-names>V.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Cherkashin</surname>
            ,
            <given-names>K.</given-names>
          </string-name>
          :
          <article-title>Regional land use by farms of the Russian Federation</article-title>
          .
          <source>IOP Conference Series: Earth and Environmental Science</source>
          <volume>274</volume>
          ,
          <issue>012017</issue>
          (
          <year>2019</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref5">
        <mixed-citation>
          5.
          <string-name>
            <surname>Mentsiev</surname>
            ,
            <given-names>A.U.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Isaev</surname>
            ,
            <given-names>A.R.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Supaeva</surname>
            ,
            <given-names>K.S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Yunaeva</surname>
            ,
            <given-names>S.M.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Khatuev</surname>
          </string-name>
          , U.A.:
          <article-title>Advancement of mechanical automation in the agriculture sector and overview of IoT</article-title>
          .
          <source>Journal of Physics: Conference Series</source>
          <volume>1399</volume>
          ,
          <issue>044042</issue>
          (
          <year>2019</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref6">
        <mixed-citation>
          6.
          <string-name>
            <surname>Zhichkin</surname>
            ,
            <given-names>K.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Nosov</surname>
            ,
            <given-names>V.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Zhichkina</surname>
            ,
            <given-names>L.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Grigoryeva</surname>
            ,
            <given-names>O.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Kondak</surname>
            ,
            <given-names>V.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Lysova</surname>
            <given-names>T.</given-names>
          </string-name>
          :
          <article-title>The impact of variety on the effectiveness of crop insurance with state support</article-title>
          .
          <source>IOP Conference Series: Earth and Environmental Science</source>
          <volume>433</volume>
          ,
          <issue>012004</issue>
          (
          <year>2020</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref7">
        <mixed-citation>
          7.
          <string-name>
            <surname>Holtappels</surname>
            ,
            <given-names>D.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Fortuna</surname>
            ,
            <given-names>K.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Lavigne</surname>
            ,
            <given-names>R.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Wagemans</surname>
            ,
            <given-names>J.:</given-names>
          </string-name>
          <article-title>The future of phage biocontrol in integrated plant protection for sustainable crop production</article-title>
          .
          <source>Current Opinion in Biotechnology 68</source>
          ,
          <fpage>60</fpage>
          -
          <lpage>71</lpage>
          (
          <year>2021</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref8">
        <mixed-citation>
          8.
          <string-name>
            <surname>Zhichkin</surname>
            ,
            <given-names>K.A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Nosov</surname>
            ,
            <given-names>V.V.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Zhichkina</surname>
            ,
            <given-names>L.N.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Ramazanov</surname>
            ,
            <given-names>I.A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Kotyazhov</surname>
            ,
            <given-names>A.V.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Abdulragimov</surname>
            ,
            <given-names>I.A.</given-names>
          </string-name>
          :
          <article-title>The food security concept as the state support basis for agriculture</article-title>
          .
          <source>Agronomy Research</source>
          <volume>19</volume>
          (
          <issue>2</issue>
          ),
          <fpage>629</fpage>
          -
          <lpage>637</lpage>
          , (
          <year>2021</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref9">
        <mixed-citation>
          9.
          <string-name>
            <surname>Mamai</surname>
            ,
            <given-names>O.V.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Mamai</surname>
            ,
            <given-names>I.N.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Kitaeva</surname>
            <given-names>M.V.</given-names>
          </string-name>
          :
          <article-title>Digitization of the Agricultural Sector of Economy as an Element of Innovative Development in Russia</article-title>
          .
          <source>Digital Age: Chances, Challenges and Future</source>
          <volume>84</volume>
          ,
          <fpage>359</fpage>
          -
          <lpage>365</lpage>
          (
          <year>2020</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref10">
        <mixed-citation>
          10.
          <string-name>
            <surname>Medvedeva</surname>
            ,
            <given-names>T. N.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Artamonova</surname>
            ,
            <given-names>I. A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Baturina</surname>
            ,
            <given-names>I. N.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Farvazova</surname>
            ,
            <given-names>E. A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Roznina</surname>
            ,
            <given-names>N. V.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Mukhina</surname>
            ,
            <given-names>E. G.</given-names>
          </string-name>
          :
          <article-title>On the distribution mechanism of green box subsidies</article-title>
          .
          <source>IOP Conference Series: Earth and Environmental Science</source>
          <volume>341</volume>
          ,
          <issue>012010</issue>
          (
          <year>2019</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref11">
        <mixed-citation>
          11.
          <string-name>
            <surname>Kuchumov</surname>
            ,
            <given-names>A.V.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Fattakhov</surname>
            ,
            <given-names>R.V.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Pivovarova</surname>
            ,
            <given-names>O.V.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Pobyvaev</surname>
            ,
            <given-names>S.A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Gibadullin</surname>
            ,
            <given-names>A.A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Troshin</surname>
            ,
            <given-names>D.V.</given-names>
          </string-name>
          :
          <article-title>Development of a rational environmental management system and increasing environmental safety</article-title>
          .
          <source>IOP Conference Series: Earth and Environmental Science</source>
          ,
          <volume>548</volume>
          (
          <issue>6</issue>
          ),
          <volume>062022</volume>
          (
          <year>2020</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref12">
        <mixed-citation>
          12.
          <string-name>
            <surname>Valin</surname>
            ,
            <given-names>H.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Sands</surname>
            , R.
            <given-names>D.</given-names>
            , van der Mensbrugghe, D.
          </string-name>
          ,
          <string-name>
            <surname>Nelson</surname>
            ,
            <given-names>G.C.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Ahammad</surname>
            ,
            <given-names>H.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Blanc</surname>
            ,
            <given-names>E.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Bodirsky</surname>
            ,
            <given-names>B.</given-names>
          </string-name>
          , (...), Willenbockel,
          <string-name>
            <surname>D.</surname>
          </string-name>
          :
          <article-title>The future of food demand: Understanding differences in global economic models</article-title>
          .
          <source>Agricultural Economics (United Kingdom)</source>
          <volume>45</volume>
          (
          <issue>1</issue>
          ),
          <fpage>51</fpage>
          -
          <lpage>67</lpage>
          (
          <year>2014</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref13">
        <mixed-citation>
          13.
          <string-name>
            <surname>Zimnukhova</surname>
            ,
            <given-names>D.I.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Zubkova</surname>
            ,
            <given-names>G.A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Morkovkin</surname>
            ,
            <given-names>D.E.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Stroev</surname>
            ,
            <given-names>P.V.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Gibadullin</surname>
            ,
            <given-names>A.A.</given-names>
          </string-name>
          :
          <article-title>Management and development of digital technologies in the electric power industry of Russia</article-title>
          .
          <source>Journal of Physics: Conference Series</source>
          <volume>1399</volume>
          ,
          <issue>033097</issue>
          (
          <year>2019</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref14">
        <mixed-citation>
          14.
          <string-name>
            <given-names>Mohd</given-names>
            <surname>Nizar</surname>
          </string-name>
          ,
          <string-name>
            <given-names>N.M.</given-names>
            ,
            <surname>Jahanshiri</surname>
          </string-name>
          ,
          <string-name>
            <given-names>E.</given-names>
            ,
            <surname>Tharmandram</surname>
          </string-name>
          ,
          <string-name>
            <given-names>A.S.</given-names>
            ,
            <surname>Salama</surname>
          </string-name>
          ,
          <string-name>
            <given-names>A.</given-names>
            ,
            <surname>Mohd Sinin</surname>
          </string-name>
          ,
          <string-name>
            <given-names>S.S.</given-names>
            ,
            <surname>Abdullah</surname>
          </string-name>
          ,
          <string-name>
            <given-names>N.J.</given-names>
            ,
            <surname>Zolkepli</surname>
          </string-name>
          ,
          <string-name>
            <given-names>H.</given-names>
            , (...),
            <surname>Azam-Ali</surname>
          </string-name>
          ,
          <string-name>
            <surname>S.N.</surname>
          </string-name>
          :
          <article-title>Underutilised crops database for supporting agricultural diversification</article-title>
          .
          <source>Computers and Electronics in Agriculture 180</source>
          ,
          <issue>105920</issue>
          (
          <year>2021</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref15">
        <mixed-citation>
          15.
          <string-name>
            <surname>Dengel</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          :
          <article-title>The role of linked data in agriculture: interview with Johannes Keizer, Information Systems Officer at the Food and Agriculture Organization of the United Nations</article-title>
          .
          <source>KI - Kunstliche Intelligenz</source>
          <volume>27</volume>
          (
          <issue>4</issue>
          ),
          <fpage>363</fpage>
          -
          <lpage>364</lpage>
          (
          <year>2013</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref16">
        <mixed-citation>
          16.
          <string-name>
            <surname>Driemeier</surname>
            ,
            <given-names>C.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Ling</surname>
            ,
            <given-names>L.Y.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Sanches</surname>
            ,
            <given-names>G.M.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Pontes</surname>
            ,
            <given-names>A.O.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Magalhães</surname>
            ,
            <given-names>P.S.G.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Ferreira</surname>
            ,
            <given-names>J.E.</given-names>
          </string-name>
          :
          <article-title>A computational environment to support research in sugarcane agriculture</article-title>
          .
          <source>Computers and Electronics in Agriculture 130</source>
          ,
          <fpage>13</fpage>
          -
          <lpage>19</lpage>
          (
          <year>2016</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref17">
        <mixed-citation>
          17.
          <string-name>
            <surname>Evans</surname>
          </string-name>
          , L.T., Fisher, R.A.:
          <article-title>Yield potential: its definition, measurement, and significance</article-title>
          .
          <source>Crop Science</source>
          <volume>39</volume>
          (
          <issue>6</issue>
          ),
          <fpage>1544</fpage>
          -
          <lpage>1551</lpage>
          (
          <year>1999</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref18">
        <mixed-citation>
          18.
          <string-name>
            <surname>Zhichkin</surname>
            ,
            <given-names>K.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Nosov</surname>
            ,
            <given-names>V.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Zhichkina</surname>
            ,
            <given-names>L.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Panchenko</surname>
            ,
            <given-names>V.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Zueva</surname>
            ,
            <given-names>E.</given-names>
          </string-name>
          , Vorob'eva, D.:
          <article-title>Modelling of state support for biodiesel production</article-title>
          .
          <source>E3S Web of Conferences</source>
          <volume>203</volume>
          ,
          <issue>05022</issue>
          (
          <year>2020</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref19">
        <mixed-citation>
          19.
          <string-name>
            <surname>Isrigova</surname>
            ,
            <given-names>T.A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Salmanov</surname>
            ,
            <given-names>M.M.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Isrigova</surname>
            ,
            <given-names>V.S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Taibova</surname>
            ,
            <given-names>D.S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Sannikova</surname>
            ,
            <given-names>E.V.</given-names>
          </string-name>
          :
          <article-title>Development of a technology for the production of a functional food based on plant raw materials</article-title>
          .
          <source>E3S Web of Conferences</source>
          <volume>222</volume>
          ,
          <issue>3003</issue>
          (
          <year>2020</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref20">
        <mixed-citation>
          20.
          <string-name>
            <surname>Jahanshiri</surname>
            ,
            <given-names>E.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Nizar</surname>
            ,
            <given-names>N.M.M.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Suhairi</surname>
            ,
            <given-names>T.A.S.T.M.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Gregory</surname>
            ,
            <given-names>P.J.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Mohamed</surname>
            ,
            <given-names>A.S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Wimalasiri</surname>
            ,
            <given-names>E.M.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Azam-Ali</surname>
            ,
            <given-names>S.N.:</given-names>
          </string-name>
          <article-title>A land evaluation framework for agricultural diversification</article-title>
          .
          <source>Sustainability (Switzerland)</source>
          <volume>12</volume>
          (
          <issue>8</issue>
          ),
          <volume>3110</volume>
          (
          <year>2020</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref21">
        <mixed-citation>
          21.
          <string-name>
            <surname>Karunaratne</surname>
            ,
            <given-names>A.S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Azam-Ali</surname>
            ,
            <given-names>S.N.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Walker</surname>
            ,
            <given-names>S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Ruane</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          :
          <article-title>Modelling the productivity of underutilised crops for climate resilience</article-title>
          .
          <source>Acta Horticulturae</source>
          <volume>1101</volume>
          ,
          <fpage>113</fpage>
          -
          <lpage>118</lpage>
          (
          <year>2015</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref22">
        <mixed-citation>
          22.
          <string-name>
            <surname>Shepherd</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Turner</surname>
            ,
            <given-names>J.A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Small</surname>
            ,
            <given-names>B.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Wheeler</surname>
            ,
            <given-names>D.</given-names>
          </string-name>
          :
          <article-title>Priorities for science to overcome hurdles thwarting the full promise of the 'digital agriculture' revolution</article-title>
          .
          <source>Journal of the Science of Food and Agriculture</source>
          <volume>100</volume>
          (
          <issue>14</issue>
          ),
          <fpage>5083</fpage>
          -
          <lpage>5092</lpage>
          (
          <year>2020</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref23">
        <mixed-citation>
          23.
          <string-name>
            <surname>Gibadullin</surname>
            ,
            <given-names>A.A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Sadriddinov</surname>
            ,
            <given-names>M.I.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Kurbonova</surname>
            ,
            <given-names>Z.M.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Shedko</surname>
            ,
            <given-names>Yu.N.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Shamraeva</surname>
            ,
            <given-names>V.V.</given-names>
          </string-name>
          :
          <article-title>Assessment of factors ensuring sustainable development of the electric power industry in the context of transition to renewable energy sources of the national economy</article-title>
          .
          <source>IOP Conference Series: Earth and Environmental Science</source>
          ,
          <volume>421</volume>
          ,
          <issue>032051</issue>
          (
          <year>2020</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref24">
        <mixed-citation>
          24.
          <string-name>
            <surname>Walter</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Finger</surname>
            ,
            <given-names>R.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Huber</surname>
            ,
            <given-names>R.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Buchmann</surname>
          </string-name>
          , N.:
          <article-title>Smart farming is key to developing sustainable agriculture</article-title>
          .
          <source>Proceedings of the National Academy of Sciences of the United States of America</source>
          <volume>114</volume>
          (
          <issue>24</issue>
          ),
          <fpage>6148</fpage>
          -
          <lpage>6150</lpage>
          (
          <year>2017</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref25">
        <mixed-citation>
          25.
          <string-name>
            <surname>Zhao</surname>
            ,
            <given-names>C.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Liu</surname>
            ,
            <given-names>B.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Xiao</surname>
            ,
            <given-names>L.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Hoogenboom</surname>
            ,
            <given-names>G.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Boote</surname>
            ,
            <given-names>K.J.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Kassie</surname>
            ,
            <given-names>B.T.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Pavan</surname>
            ,
            <given-names>W.</given-names>
          </string-name>
          , (...), Asseng,
          <string-name>
            <surname>S.:</surname>
          </string-name>
          <article-title>A SIMPLE crop model</article-title>
          .
          <source>European Journal of Agronomy</source>
          <volume>104</volume>
          ,
          <fpage>97</fpage>
          -
          <lpage>106</lpage>
          (
          <year>2019</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref26">
        <mixed-citation>
          26.
          <string-name>
            <surname>Ferjani</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Zimmermann</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Roesch</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          :
          <article-title>Determining factors of farm exit in agriculture in Switzerland</article-title>
          .
          <source>Agricultural Economics Review</source>
          <volume>16</volume>
          (
          <issue>1</issue>
          ),
          <fpage>59</fpage>
          -
          <lpage>72</lpage>
          (
          <year>2015</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref27">
        <mixed-citation>
          27.
          <string-name>
            <surname>Sadriddinov</surname>
            ,
            <given-names>M.I.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Mezina</surname>
            ,
            <given-names>T.V.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Morkovkin</surname>
            ,
            <given-names>D.E.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Romanova</surname>
            ,
            <given-names>Ju.A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Gibadullin</surname>
            ,
            <given-names>A.A.</given-names>
          </string-name>
          :
          <article-title>Assessment of technological development and economic sustainability of domestic industry in modern conditions</article-title>
          .
          <source>IOP Conference Series: Materials Science and Engineering</source>
          ,
          <volume>734</volume>
          ,
          <issue>012051</issue>
          (
          <year>2020</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref28">
        <mixed-citation>
          28.
          <string-name>
            <surname>Gebbers</surname>
            ,
            <given-names>R.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Adamchuk</surname>
            ,
            <given-names>V.I.</given-names>
          </string-name>
          :
          <article-title>Precision agriculture and food security</article-title>
          .
          <source>Science</source>
          <volume>327</volume>
          (
          <issue>5967</issue>
          ),
          <fpage>828</fpage>
          -
          <lpage>831</lpage>
          (
          <year>2010</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref29">
        <mixed-citation>
          29.
          <string-name>
            <surname>King</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          :
          <source>Technology: The Future of Agriculture. Nature</source>
          <volume>544</volume>
          (
          <issue>7651</issue>
          ),
          <fpage>S21</fpage>
          -
          <lpage>S23</lpage>
          (
          <year>2017</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref30">
        <mixed-citation>
          30.
          <string-name>
            <surname>Lawson</surname>
            ,
            <given-names>L.G.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Pedersen</surname>
            ,
            <given-names>S.M.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Sørensen</surname>
            ,
            <given-names>C.G.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Pesonen</surname>
            ,
            <given-names>L.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Fountas</surname>
            ,
            <given-names>S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Werner</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Oudshoorn</surname>
            ,
            <given-names>F.W.</given-names>
          </string-name>
          , (...), Blackmore,
          <string-name>
            <surname>S.:</surname>
          </string-name>
          <article-title>A four nation survey of farm information management and advanced farming systems: A descriptive analysis of survey responses</article-title>
          .
          <source>Computers and Electronics in Agriculture</source>
          <volume>77</volume>
          (
          <issue>1</issue>
          ),
          <fpage>7</fpage>
          -
          <lpage>20</lpage>
          (
          <year>2011</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref31">
        <mixed-citation>
          31.
          <string-name>
            <surname>Miller</surname>
            ,
            <given-names>N.J.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Griffin</surname>
            ,
            <given-names>T.W.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Ciampitti</surname>
            ,
            <given-names>I.A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Sharda</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          :
          <article-title>Farm adoption of embodied knowledge and information intensive precision agriculture technology bundles</article-title>
          .
          <source>Precision Agriculture</source>
          <volume>20</volume>
          (
          <issue>2</issue>
          ),
          <fpage>348</fpage>
          -
          <lpage>361</lpage>
          (
          <year>2019</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref32">
        <mixed-citation>
          32.
          <string-name>
            <surname>Schimmelpfennig</surname>
            ,
            <given-names>D.</given-names>
          </string-name>
          :
          <article-title>Crop production costs, profits, and ecosystem stewardship with precision agriculture)</article-title>
          .
          <source>Journal of Agricultural and Applied Economics</source>
          <volume>50</volume>
          (
          <issue>1</issue>
          ),
          <fpage>81</fpage>
          -
          <lpage>103</lpage>
          (
          <year>2018</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref33">
        <mixed-citation>
          33.
          <string-name>
            <surname>Litvinov</surname>
            ,
            <given-names>M.A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Adamyan</surname>
            ,
            <given-names>A.A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Dat</surname>
            ,
            <given-names>H.N.</given-names>
          </string-name>
          :
          <article-title>Technical support in seed production of agricultural plants</article-title>
          .
          <source>E3S Web of Conferences</source>
          <volume>193</volume>
          ,
          <issue>01053</issue>
          (
          <year>2020</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref34">
        <mixed-citation>
          34.
          <string-name>
            <surname>Lowenberg-DeBoer</surname>
          </string-name>
          , J.,
          <string-name>
            <surname>Huang</surname>
            ,
            <given-names>I.Y.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Grigoriadis</surname>
            ,
            <given-names>V.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Blackmore</surname>
            ,
            <given-names>S.</given-names>
          </string-name>
          :
          <article-title>Economics of robots and automation in field crop production</article-title>
          .
          <source>Precision Agriculture</source>
          <volume>21</volume>
          (
          <issue>2</issue>
          ),
          <fpage>278</fpage>
          -
          <lpage>299</lpage>
          (
          <year>2020</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref35">
        <mixed-citation>
          35.
          <string-name>
            <surname>Posadas</surname>
            ,
            <given-names>B.</given-names>
          </string-name>
          :
          <article-title>Economic impacts of mechanization or automation on horticulture production firms sales, employment, and workers' earnings, safety, and retention</article-title>
          .
          <source>HortTechnology</source>
          <volume>22</volume>
          (
          <issue>3</issue>
          ),
          <fpage>388</fpage>
          -
          <lpage>401</lpage>
          (
          <year>2012</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref36">
        <mixed-citation>
          36.
          <string-name>
            <surname>Lovarelli</surname>
            ,
            <given-names>D.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Garcia</surname>
            ,
            <given-names>L.R.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Sánchez-Girón</surname>
            ,
            <given-names>V.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Bacenetti</surname>
          </string-name>
          , J.:
          <article-title>Barley production in Spain and Italy: Environmental comparison between different cultivation practices</article-title>
          .
          <source>Science of the Total Environment</source>
          <volume>707</volume>
          ,
          <issue>135982</issue>
          (
          <year>2020</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref37">
        <mixed-citation>
          37.
          <string-name>
            <surname>Lovarelli</surname>
            ,
            <given-names>D.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Bacenetti</surname>
          </string-name>
          , J.:
          <article-title>Bridging the gap between reliable data collection and the environmental impact for mechanised field operations</article-title>
          .
          <source>Biosystems Engineering</source>
          <volume>160</volume>
          ,
          <fpage>109</fpage>
          -
          <lpage>123</lpage>
          (
          <year>2017</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref38">
        <mixed-citation>
          38.
          <string-name>
            <surname>Lovarelli</surname>
            ,
            <given-names>D.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Bacenetti</surname>
            ,
            <given-names>J.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Fiala</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          :
          <article-title>Effect of local conditions and machinery characteristics on the environmental impacts of primary soil tillage</article-title>
          .
          <source>Journal of Cleaner Production Part</source>
          <volume>2</volume>
          <fpage>140</fpage>
          ,
          <fpage>479</fpage>
          -
          <lpage>491</lpage>
          (
          <year>2017</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref39">
        <mixed-citation>
          39.
          <string-name>
            <surname>Namani</surname>
            ,
            <given-names>S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Gonen</surname>
            ,
            <given-names>B.</given-names>
          </string-name>
          :
          <article-title>Smart agriculture based on IoT and cloud computing</article-title>
          .
          <source>In: Proceedings - 3rd International Conference on Information and Computer Technologies</source>
          ,
          <string-name>
            <surname>ICICT</surname>
          </string-name>
          <year>2020</year>
          ,
          <volume>9092136</volume>
          ,
          <fpage>553</fpage>
          -
          <lpage>556</lpage>
          (
          <year>2020</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref40">
        <mixed-citation>
          40.
          <string-name>
            <surname>Chaudhary</surname>
            ,
            <given-names>S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Bhise</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Banerjee</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Goyal</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Moradiya</surname>
            ,
            <given-names>C.</given-names>
          </string-name>
          :
          <article-title>Agro advisory system for cotton crop</article-title>
          .
          <source>In: 2015 7th International Conference on Communication Systems and Networks, COMSNETS 2015 - Proceedings</source>
          <volume>7098701</volume>
          (
          <year>2015</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref41">
        <mixed-citation>
          41.
          <string-name>
            <surname>Schattenberg</surname>
            ,
            <given-names>J.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Schramm</surname>
            ,
            <given-names>F.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Frerichs</surname>
            ,
            <given-names>L.</given-names>
          </string-name>
          :
          <article-title>Scenarios for automated crop production</article-title>
          .
          <source>Journal fur Kulturpflanzen</source>
          <volume>71</volume>
          (
          <issue>4</issue>
          ),
          <fpage>107</fpage>
          -
          <lpage>117</lpage>
          (
          <year>2019</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref42">
        <mixed-citation>
          42.
          <string-name>
            <surname>Wegener</surname>
            ,
            <given-names>J.K.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Urso</surname>
          </string-name>
          , L.-M.,
          <string-name>
            <surname>von Hörsten</surname>
            ,
            <given-names>D.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Minßen</surname>
          </string-name>
          , T.-F.,
          <string-name>
            <surname>Gaus</surname>
          </string-name>
          , C.-C.:
          <article-title>Developing new cropping systems - Which innovative techniques are required?</article-title>
          <source>Landtechnik</source>
          <volume>72</volume>
          (
          <issue>2</issue>
          ),
          <fpage>91</fpage>
          -
          <lpage>100</lpage>
          (
          <year>2017</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref43">
        <mixed-citation>
          43.
          <string-name>
            <surname>Zhichkin</surname>
            ,
            <given-names>K.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Nosov</surname>
            ,
            <given-names>V.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Zhichkina</surname>
            ,
            <given-names>L.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Pavlyukova</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Korobova</surname>
            ,
            <given-names>L.</given-names>
          </string-name>
          :
          <article-title>Modeling the production activity of personal subsidiary plots in the regional food security system</article-title>
          .
          <source>IOP Conference Series: Earth and Environmental Science</source>
          <volume>659</volume>
          ,
          <issue>012005</issue>
          (
          <year>2021</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref44">
        <mixed-citation>
          44.
          <string-name>
            <surname>Siddique</surname>
            ,
            <given-names>T.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Barua</surname>
            ,
            <given-names>D.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Ferdous</surname>
            ,
            <given-names>Z.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Chakrabarty</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          :
          <source>Automated farming prediction</source>
          .
          <source>2017 Intelligent Systems Conference</source>
          , IntelliSys
          <year>2017</year>
          2018-January,
          <fpage>757</fpage>
          -
          <lpage>763</lpage>
          (
          <year>2018</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref45">
        <mixed-citation>
          45.
          <string-name>
            <surname>Terribile</surname>
            ,
            <given-names>F.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Agrillo</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Bonfante</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Buscemi</surname>
            ,
            <given-names>G.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Colandrea</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>D</surname>
          </string-name>
          'Antonio,
          <string-name>
            <given-names>A.</given-names>
            ,
            <surname>De</surname>
          </string-name>
          <string-name>
            <surname>Mascellis</surname>
          </string-name>
          ,
          <string-name>
            <surname>R.</surname>
          </string-name>
          ,
          <source>(...)</source>
          , Basile,
          <string-name>
            <surname>A.</surname>
          </string-name>
          :
          <article-title>A Web-based spatial decision supporting system for land management and soil conservation</article-title>
          .
          <source>Solid Earth</source>
          <volume>6</volume>
          (
          <issue>3</issue>
          ),
          <fpage>903</fpage>
          -
          <lpage>928</lpage>
          (
          <year>2015</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref46">
        <mixed-citation>
          46.
          <string-name>
            <surname>Sumner</surname>
            ,
            <given-names>D.A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Alston</surname>
            ,
            <given-names>J.M.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Glauber</surname>
            ,
            <given-names>J.W.</given-names>
          </string-name>
          :
          <article-title>Evolution of the economics of agricultural policy</article-title>
          .
          <source>American Journal of Agricultural Economics</source>
          <volume>92</volume>
          (
          <issue>2</issue>
          ),
          <fpage>403</fpage>
          -
          <lpage>423</lpage>
          (
          <year>2010</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref47">
        <mixed-citation>
          47.
          <string-name>
            <surname>Adamopoulos</surname>
            ,
            <given-names>T.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Restuccia</surname>
            ,
            <given-names>D.</given-names>
          </string-name>
          :
          <article-title>The size distribution of farms and international productivity differences</article-title>
          .
          <source>American Economic Review</source>
          <volume>104</volume>
          (
          <issue>6</issue>
          ),
          <fpage>1667</fpage>
          -
          <lpage>1697</lpage>
          (
          <year>2014</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref48">
        <mixed-citation>
          48.
          <string-name>
            <surname>Baimisheva</surname>
            ,
            <given-names>T.A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Kurmaeva</surname>
            ,
            <given-names>I.S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Gazizyanova</surname>
            ,
            <given-names>Y.Y.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Baimeshev</surname>
            ,
            <given-names>R.H.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Aiesheva</surname>
            ,
            <given-names>G.A.</given-names>
          </string-name>
          :
          <source>IOP Conference Series: Earth and Environmental Science</source>
          <volume>315</volume>
          ,
          <issue>22090</issue>
          (
          <year>2019</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref49">
        <mixed-citation>
          49.
          <string-name>
            <surname>Zhichkin</surname>
            ,
            <given-names>K.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Nosov</surname>
            ,
            <given-names>V.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Zhichkina</surname>
            ,
            <given-names>L.</given-names>
          </string-name>
          :
          <article-title>The production costs calculation automation for planning the crops production parameters</article-title>
          .
          <source>CEUR Workshop Proceedings</source>
          <volume>2843</volume>
          ,
          <issue>20</issue>
          (
          <year>2021</year>
          ).
        </mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>