<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Archiving and Interchange DTD v1.0 20120330//EN" "JATS-archivearticle1.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink">
  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>The production costs calculation automation for planning the crops production parameters*</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Kirill Zhi</string-name>
          <email>zskirill@mail.ru</email>
        </contrib>
        <contrib contrib-type="author">
          <string-name>imir Nosov</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <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 discusses the possibility of using the technological maps development in crop production to expand the functionality of various software products used in agriculture. 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. With a large number of existing software products, almost all of them solve the limited problems associated with planning costs. To expand the scope of such products use, certain changes must be made to them. For example, in order to be able to use the calculation results for determining the investment projects effectiveness, it is necessary to link the costs to their occurrence time during the production cycle. Additionally, such software products have significant potential to be used as a basis for optimizing production processes in agronomy. The choice of the best option for using the existing equipment, taking into account the criterion of minimizing the cost, will allow you to get an additional economic effect as a result of these software products introduction into production.</p>
      </abstract>
      <kwd-group>
        <kwd>software</kwd>
        <kwd>optimizing</kwd>
        <kwd>technological maps</kwd>
        <kwd>crops cultivation</kwd>
        <kwd>production costs</kwd>
        <kwd>investment projects</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>
        At present, in the Russian agriculture conditions, the development main driver is the
plant growing industry. For almost the entire period after 1991, crop production was
profitable, which made the industry more commercially attractive than livestock
[
        <xref ref-type="bibr" rid="ref15">15</xref>
        ]. The production process in crop production has a number of features. It consists
from a number of operations performed in a strict sequence, at optimal time periods
(agro periods) and at certain times of the year. These operations costs have a complex
nature and are formed from material costs (fertilizers, plant protection products,
seeds, etc.), salary costs (salaries of tractor drivers, auxiliary workers), costs of
maintaining agricultural machinery and energy-rich mechanisms [
        <xref ref-type="bibr" rid="ref6 ref7">6, 7</xref>
        ].
      </p>
      <p>
        The most suitable method for determining costs in crop production is to calculate
using technological maps of the various crops cultivation. However, the standard
technological map, in the form in which it was drawn up earlier, does not take into
account one factor - the time factor. All costs received using this method formed the
total amount (for each cost item), regardless of the time period in which payments
were actually made [
        <xref ref-type="bibr" rid="ref10 ref11 ref12 ref8 ref9">8-12</xref>
        ].
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. For example, a program developed at the Kuban
State Agrarian University. When posting costs by month, the report displays the final
figure, which contains, in addition to the actual costs, also depreciation. And it is
usually accounted for separately.</p>
      <p>
        In the program our version for calculating the flow chart, in addition to the types of
work, operations and the composition of the unit, the month of the given
technological operation is also indicated. The fact is that, for example, in business planning, a
minimum time interval of one month is considered, which makes such detailing in a
technological map acceptable [
        <xref ref-type="bibr" rid="ref13 ref14 ref15 ref16 ref17 ref18">13-18</xref>
        ].
      </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. For this, the following tasks were solved: - get acquainted with the
structure of the most suitable software products for the technological maps calculation
in crop production; - to determine the capabilities of software products for solving
economic problems; - to adapt programs for use in the preparation of initial data in
business planning; - determination of the software products capabilities to optimize
production processes.
3</p>
    </sec>
    <sec id="sec-3">
      <title>Results</title>
      <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). Hundreds of equipment various types
tests are carried out annually. Their results can be found in the public domain [
        <xref ref-type="bibr" rid="ref19 ref20">19,
20</xref>
        ]. This data is used to expand the capabilities of the program, to update the
technologies and technology sets used [
        <xref ref-type="bibr" rid="ref21 ref22 ref23 ref24 ref25">21-25</xref>
        ].
      </p>
      <p>
        The work plans calculation is a selection of the appropriate operations from the
proposed list. To simplify the operations choice, they are grouped according to the
main types (for example, the group "Basic soil cultivation" includes operations:
nonmoldboard cultivation, moldboard plowing, disking, stubble plowing, discator
cultivation, processing with deepening). Each operation corresponds to its own set of
aggregates, with which it can be performed and the main parameters (processing depth,
number of passes, seeding rate, etc.) [
        <xref ref-type="bibr" rid="ref26 ref27 ref28 ref29 ref30 ref31 ref32 ref33 ref34">26-34</xref>
        ]
      </p>
      <p>All the necessary data for the technological map formation are presented in the
"Operations" window in the form of drop-down lists (Figure 1).</p>
      <p>1. In the "Operations" window from the drop-down lists, you must sequentially
select:
─ work type;
─ technological operation;
─ the unit composition;
─ operation parameter (fertilizer application rate, tillage depth, seeding rate, etc.).
2. Indicate the month of the corresponding operation.</p>
      <p>3. After clicking the "Add" button, the selected operation will be added to the end
of the "New map" table.</p>
      <p>4. To draw up the entire map - steps 1-3 are repeated as many times as necessary.
The result is a completed table "New map" (Figure. 2).</p>
      <p>5. A crop is selected from the drop-down list in the "New Map" window and the
yield is set. If necessary, the completed map can be edited.
─ to delete a row from the table - select this row by clicking the mouse, then click the
"Delete" button;
─ to replace an operation (row) in the table - form a technological operation as
described above and click on the "Replace" button in the "Operations" window. The
"Select" window will appear, in which select the operation (line) to be replaced and
click the "Replace" button;
─ to insert a row into an arbitrary place in the table - form a technological operation
as described above and click on the "Paste before" button in the "Operations"
window. The "Select" window will appear, in which select the operation (row), before
which the new operation will be inserted and click on the "Paste" button.</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.</p>
      <p>Click on the "Report" button in the "Calculation results" window - the finished
calculated map (report) will be displayed on the screen (Figure 3).</p>
      <p>Use the Print Preview panel to navigate through the report during preview, exit
preview, and print the report to the printer. The report is output to the printer installed
on the system by default. Page setup for printing: paper size A4, paper orientation
landscape.</p>
      <p>Calculation of production costs. After performing the calculation in the
technological map, the button "Cost" becomes available. Click on this button. (Production costs
are calculated for the currently open and calculated routing). In the window, set the
area for which costs are calculated (by default, 1 ha is taken, as in the calculation of
the technological map). The calculation is made for a given area too.</p>
      <p>Further the necessary fields are filled in, in which the costs of plant protection
products, fertilizers, seeds, the standard of general costs are determined, the
"Calculate" button and the "Next" button are pressed. Based on these steps, a final report is
generated.</p>
      <p>In the final report (Figure 4), the structure of the cost of this particular crop is
deciphered under the selected technology option and the formed external conditions (cost
of fuel and lubricants, average wages in the region, exchange rates, etc.)
4</p>
    </sec>
    <sec id="sec-4">
      <title>Discussion</title>
      <p>
        The program for calculating technological maps in crop production has been adapted
to the business planning requirements. The main problem in drawing up technological
maps is the exact assignment of the occurrence time and the costs amount that the
company incurs during the production cycle [
        <xref ref-type="bibr" rid="ref35 ref36 ref37 ref38 ref39 ref40 ref41">35-41</xref>
        ]. And if most of the material costs
(for fertilizers, plant protection products, seeds) are one-time in nature and are
precisely tied to time and amounts, then the costs of fuel, electricity, motor oil are
distributed unevenly throughout the field work entire period. The program version copes
with the solution of this problem with high accuracy.
      </p>
      <p>The received data in the "Total for ..." term (Figure 3) is entered under the
corresponding items in the sections of special software for calculating the investment
projects effectiveness (for example, in the "Operational plan" "General costs" section of
the Project Expert program). The frequency of payments is determined using a
complex scheme that allows you to accurately determine the time and amount of each new
payment. The methodology for drawing up a technological map remains unchanged
when calculating the cost part of any agricultural crop.</p>
      <p>An additional possibility of using this software product is the ability to enter it into
the package of the navigation system used in agriculture to optimize the use of the
machine and tractor fleet.</p>
      <p>The existing systems are currently used to a limited extent to control the equipment
movement trajectory, to exclude inappropriate use of fuels and lubricants by the
enterprise employees. Expanding the system functionality by introducing an additional
optimization block into it based on the program for calculating technological maps
and adjusting it according to the parameters of the particular enterprise technology (a
possible set of aggregates, the fields maps, potential production, optimal agro periods,
etc.) will allow using the functionality of this the software product is much broader,
automating part of the agronomic service functions based on the existing equipment
optimal use.</p>
    </sec>
    <sec id="sec-5">
      <title>Conclusion</title>
      <p>Automation of the production calculation cost in crop production by drawing up
technological maps requires additional attention. With a large number of existing software
products, almost all of them solve the limited problems associated with planning
costs. To expand the scope of such products use, certain changes must be made to
them. For example, in order to be able to use the calculation results when determining
the investment projects effectiveness, it is necessary to link the costs to the time of
their occurrence during the production cycle.</p>
      <p>Additionally, such software products have significant potential to be used as a
basis for optimizing production processes in agronomy. The choice of the best option
for using the existing equipment, taking into account the criterion of minimizing the
cost, will allow you to get an additional economic effect as a result of the introduction
of these software products into production.</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>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="ref4">
        <mixed-citation>
          4.
          <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="ref5">
        <mixed-citation>
          5.
          <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="ref6">
        <mixed-citation>
          6.
          <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="ref7">
        <mixed-citation>
          7.
          <string-name>
            <surname>Lakomiak</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Zhichkin</surname>
            ,
            <given-names>K. A.</given-names>
          </string-name>
          :
          <article-title>Photovoltaics in horticulture as an opportunity to reduce operating costs. A case study in Poland</article-title>
          .
          <source>Journal of Physics: Conference Series</source>
          <volume>1399</volume>
          ,
          <issue>044088</issue>
          (
          <year>2019</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref8">
        <mixed-citation>
          8.
          <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="ref9">
        <mixed-citation>
          9.
          <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="ref10">
        <mixed-citation>
          10.
          <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="ref11">
        <mixed-citation>
          11.
          <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="ref12">
        <mixed-citation>
          12.
          <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="ref13">
        <mixed-citation>
          13.
          <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="ref14">
        <mixed-citation>
          14.
          <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="ref15">
        <mixed-citation>
          15.
          <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>Zhenzhebir</surname>
            ,
            <given-names>V.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Rubtsova</surname>
            <given-names>S.:</given-names>
          </string-name>
          <article-title>The agricultural crops production profitability in modern conditions</article-title>
          .
          <source>E3S Web of Conferences</source>
          <volume>175</volume>
          ,
          <issue>13008</issue>
          (
          <year>2020</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref16">
        <mixed-citation>
          16.
          <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="ref17">
        <mixed-citation>
          17.
          <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="ref18">
        <mixed-citation>
          18.
          <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="ref19">
        <mixed-citation>
          19.
          <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="ref20">
        <mixed-citation>
          20.
          <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="ref21">
        <mixed-citation>
          21.
          <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="ref22">
        <mixed-citation>
          22.
          <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="ref23">
        <mixed-citation>
          23.
          <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="ref24">
        <mixed-citation>
          24.
          <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="ref25">
        <mixed-citation>
          25.
          <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="ref26">
        <mixed-citation>
          26.
          <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="ref27">
        <mixed-citation>
          27.
          <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="ref28">
        <mixed-citation>
          28.
          <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="ref29">
        <mixed-citation>
          29.
          <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="ref30">
        <mixed-citation>
          30.
          <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="ref31">
        <mixed-citation>
          31.
          <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="ref32">
        <mixed-citation>
          32.
          <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="ref33">
        <mixed-citation>
          33.
          <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="ref34">
        <mixed-citation>
          34.
          <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="ref35">
        <mixed-citation>
          35.
          <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="ref36">
        <mixed-citation>
          36.
          <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="ref37">
        <mixed-citation>
          37.
          <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>Tkachev</surname>
            ,
            <given-names>S.</given-names>
          </string-name>
          , Voloshchuk L.:
          <article-title>Prediction methodology for potential damage from misuse of agricultural lands</article-title>
          .
          <source>E3S Web of Conferences</source>
          <volume>161</volume>
          ,
          <issue>01060</issue>
          (
          <year>2020</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref38">
        <mixed-citation>
          38.
          <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="ref39">
        <mixed-citation>
          39.
          <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="ref40">
        <mixed-citation>
          40.
          <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="ref41">
        <mixed-citation>
          41.
          <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-list>
  </back>
</article>