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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Overview of Aromatic Plants Precision Agriculture with the use of UAV</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Ioannis Karnaris</string-name>
          <email>ikarnaris@uowm.gr</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Nikolaos Asimopoulos</string-name>
          <email>nasimopoulos@uowm.gr</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Department of Electrical &amp; Computer Engineering, Faculty of Engineering, University of Western Macedonia</institution>
          ,
          <country country="GR">Greece</country>
        </aff>
      </contrib-group>
      <fpage>137</fpage>
      <lpage>144</lpage>
      <abstract>
        <p>While precision agriculture has been present for many years and lately massively spread through the agricultural and scientific community, little to nothing has been published for smart farming and agriculture in aromatic and herbal plants. In this article we search and review publications regarding aromatic plants' crop management, the use of state of the art techniques while recording most common UAVs, special thermal and multispectral cameras for the raw data acquisition and aerial imagery post - processing software used. We also discuss common methodologies and indices used for this specific segment of agriculture and point out the hidden potential of more efficient, in many ways, crop management in the use of UAVs.</p>
      </abstract>
      <kwd-group>
        <kwd>UAV</kwd>
        <kwd>Precision Agriculture</kwd>
        <kwd>Photogrammetry</kwd>
        <kwd>Aromatic &amp; Herbal Plants</kwd>
        <kwd>Overview</kwd>
        <kwd>Vegetation Index</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1 Introduction</title>
      <p>
        The majority of people living in developed countries have become really selective
when it comes to the quality of their everyday nutrition. Along with frequent
exercise, quality food is a must for both Generation X and Millennials. A large
number of people in developing countries have traditionally depended on products
derived from plants, especially from forests, for curing human and livestock
ailments. Additionally, several aromatic plants are popular for domestic and
commercial uses and collectively they are called medicinal and aromatic plants
(MAPs)
        <xref ref-type="bibr" rid="ref1">(M.R. Rao, 2004)</xref>
        . Nutrition quality of the modern family is one of the main
reasons that medicinal and aromatic plants consumption and -therefore- cultivation
have continuously been on the rise for many years as well as being relatively
inexpensive to cultivate but with a respectable profit margin.
      </p>
      <p>At the same time, vast progress has been made in Remote Sensing and
Geographical Information Systems (GIS) while rising technologies such as Internet
of Things (IoT) alongside Machine Learning and Artificial Intelligence (AI) broaden
their scope of application each year. All of the aforementioned, combined with the
ease of use of the latest Unmanned Aerial Vehicles (UAV) –which have almost
become part of our everyday lives- and their relatively low cost in initial purchase
and maintenance, pave the way for better and more efficient crop management of
aromatic plants through constant monitoring∙ to name a few, UAVs can be used in
crop mapping and soil analysis with the use of specific sensors and software,
fertilizer spot spraying, seed planting.</p>
      <p>
        UAV designs include many different forms, features, and functions
        <xref ref-type="bibr" rid="ref2">(Vergouw,
2016)</xref>
        . The four primary types of drones are fixed-wing, single-rotor, multi-rotor, and
hybrid; all of these types have certain advantages and disadvantages and they have
been widely used for research in various fields. They feature simple controls, require
low costs, and are highly mobile with the ability to take off anywhere
        <xref ref-type="bibr" rid="ref3">(Chen, 2020)</xref>
        and by employing UAVs, the corresponding spatial resolution can be increased to
much less than a meter
        <xref ref-type="bibr" rid="ref4">(Prem Chandra Pandey, 2020)</xref>
        .
      </p>
      <p>Aromatic and herbal plants can be divided into groups based on how they are used</p>
      <p>Raw materials for essential oil extraction; a major use of these plants.
Culinary spices; the non-leafy parts are used as a flavoring or seasoning.
Culinary herbs; the leafy or soft flowering parts are used as a flavoring or
seasoning.</p>
      <p>Medicinal group; the development of natural or semi-synthetic medicine
Miscellaneous group: MAPs and their extracts become components of
cosmetics, dyes, air fresheners, disinfectants, botanical pesticides, insect
repellents, etc. (Solomou, 2016)</p>
      <p>
        Most commonly cultivated medicinal and aromatic plant species in Greece are
        <xref ref-type="bibr" rid="ref5">(Solomou, 2016)</xref>
        ;
      </p>
      <sec id="sec-1-1">
        <title>Sideritis sp.</title>
        <p>Pimbinella anisum
Origanum sp.</p>
        <p>Origanum dictamus
Crocus sp.</p>
        <p>Hyssopus officinalis
Salvia sp.</p>
        <p>Origanum majorana
Jasminum officinalis
Lavandula spica
Sinapis sp.</p>
      </sec>
      <sec id="sec-1-2">
        <title>Matricaria chamomila Hypericum perforatum Urtica sp.</title>
        <p>Aloysia citriodora
Crithmum maritimum
Mentha viridis
Coriandrum sativum
Mentha sp.</p>
        <p>Salvia sp.</p>
        <p>Lepidium sp.</p>
      </sec>
      <sec id="sec-1-3">
        <title>Crocus sp.</title>
        <p>Phacelia tanacetifolia
Phoeniculum vulgare
Rosmarinus
officinalis
Thymus sp.</p>
        <p>Glycirrhiza glabra
Cuminum cyminum</p>
        <p>Ocimum basilicum
2.1 Respective Aromatic and Herbal Plant papers</p>
        <p>Systematic and thorough literature search was conducted with searches only in the
English language in the following scientific databases;</p>
        <p>Web of Science, MDPI, PubMed, ScienceDirect, ResearchGate, Elsevier and
Google Scholar by using search terms such as “medicinal plant UAV” “aromatic
plant UAV” “herbal plant UAV” along with keyword combinations (e.g.
“Multispectral Imaging”, “remote sensing”, “Vegetation Index” and “cultivation
practice”) in order to find the relevant published papers and complete the literature
review.</p>
        <p>
          Our aim and focus in using multispectral –as well as thermal- cameras will be
mainly in aromatic and herbal plants that are cultivated in Greece and particularly
within the Western Macedonia Prefecture in order to find ways to enhance the crops’
cultivation and help ease the consequences from the violent decarbonization of the
area. Specifically, Rosemary (Salvia rosmarinus), Oregano (Origanum vulgare)
          <xref ref-type="bibr" rid="ref6">(Olmedo, 2013)</xref>
          , Sage (Salvia officinalis) and Lavender (Lavandula angustifolia).
        </p>
        <p>The use of Remote Sensing Data and GIS Technologies for Monitoring Stocks of
Medicinal Plants, was examined in 2019 with the necessity of a digital terrain model
along with multispectral and plain photography data as the outcome (Fadeev, 2019)</p>
        <p>
          By monitoring the effect of different levels of irrigation in the cultivation of
oregano with the use of GIS and a 4 band multispectral camera, the NDVI vegetation
index was not proved particularly reliable and further research using other growth
indicators was recommended
          <xref ref-type="bibr" rid="ref8">(Lontou, 2020)</xref>
          .
        </p>
        <p>
          By investigating correlation between salt stress in rosemary and NDVI with
remote sensing technique, significant relationship between salt stress and reflection
values in the plant was highlighted. The findings show that the reflectance values
could be used to estimate the salt-stress level in plants
          <xref ref-type="bibr" rid="ref9">(Atun, 2020)</xref>
          even though
earlier studies show that there is no direct relationship between NDVI and
chlorophyll content
          <xref ref-type="bibr" rid="ref10">(Hernandez et al., 2014)</xref>
          .
        </p>
        <p>
          Hyperspectral Imaging (HSI) is a non-destructive, time-saving versatile and
environmentally friendly technique with potential application for on-line quality
monitoring
          <xref ref-type="bibr" rid="ref11">(Shikanga, 2013)</xref>
          , mostly used in the absence of organic solvents
          <xref ref-type="bibr" rid="ref12">(Tripathi and Mishra, 2009)</xref>
          . It offers new possibilities by combining spectral and
visual data, researchers and producers can employ this tool for mapping distributions
of compounds, adulteration, and contamination in aromatic and medicinal plant
products as well as derivatives such as spices
          <xref ref-type="bibr" rid="ref13">(Sajad, 2018)</xref>
          .
        </p>
        <p>In 2019, a study proved that a fusion of multispectral and Structure from Motion
(SfM)-derived vertical information significantly improves the accuracies of
classification of shrubland vegetation (and conclusively herb plants) to the level of
individual species, without the need to invest in (expensive) LiDAR sensor
equipment (Prošek, 2019)</p>
        <p>
          Mapping rosemary cover results established that not any vegetation index is useful
for classification, but there are combinations to find for well training the supervised
classification while indices as NDVI, MCARI and BI are forming the best
combination
          <xref ref-type="bibr" rid="ref15">(Chafik, 2020)</xref>
          .
2.2 Respective Basic Vegetation Indices for Aromatic and Herbal Plants
        </p>
        <p>
          According to a 1991 research
          <xref ref-type="bibr" rid="ref16">(Jackson, 1991)</xref>
          , Vegetation Indices (VI) classify
into two major groups, slope-based and distance-based; slope-based VIs are
combinations of the visible red and the near infrared bands and are widely used to
generate vegetation indices and distance-based VIs have as main objective to cancel
the effect of soil brightness in cases where vegetation is sparse and pixels contain a
mixture of green vegetation and soil background
          <xref ref-type="bibr" rid="ref17">(Silleos, 2006)</xref>
          .
        </p>
        <p>
          A recent study of the Vegetation Indices, reviewing their developments and
applications over the years recorded significant increase in used and implemented
indices calculated from multispectral as well as hyperspectral information
          <xref ref-type="bibr" rid="ref18">(Xue.
2017)</xref>
          .
        </p>
        <p>
          NDVI, as normalized ratio between the red and near infrared bands is the
Normalized Difference Vegetation Index
          <xref ref-type="bibr" rid="ref19">(Karnieli, 2010)</xref>
          and may perhaps be the
widely known one but there are many more although it is very difficult to indicate
which would be the best approach without knowing the details of the desired
application; there are too many factors that can influence the decision (costs, spatial
resolution, area coverage, type of image to be used, type of feature of index to be
calculated, etc.)
          <xref ref-type="bibr" rid="ref20">(Barbedo, 2019)</xref>
          .
        </p>
      </sec>
    </sec>
    <sec id="sec-2">
      <title>3 Discussion and Conclusion</title>
      <p>According to the aforementioned literature review, proper and thorough research
of various vegetation indices in aromatic and herbal plants has to be made, especially
for those species that are mostly cultivated in Greece and specifically in Western
Macedonia Prefectures’ climate which may be traditionally Greek through the
summers but is particularly rough through autumn and winter given that it is in the
northern part of the country (Figure 1).
Kastoria</p>
      <p>Ptolemaida</p>
      <p>Therefore, an area of 26 acres has been chosen for the cultivation of 4 different
herbal species from scratch, within accordingly formed area in an old deposits area
from the lignite mines that dominated the area in previous years, as can be seen in the
corresponding Figure 2:
• Rosemary (Salvia rosmarinus), 4 acres
• Oregano (Origanum vulgare), 12 acres
• Sage (Salvia officinalis), 3 acres
• Lavender (Lavandula angustifolia), 7 acres</p>
      <p>There is striking potential to be analyzed in terms of research, some of the areas
that we intend to emphasize are the following;</p>
      <p>Comparison of the lignite mine old deposits sites’ ground with an area
away from the mines in terms of moisture etc.</p>
      <p>Comparison of the lignite mines’ old deposits site ground -using of
multispectral and thermal camera- with the outcome from soil testing
bore holes
Research over various vegetation indices in all four herbal and aromatic
species throughout the cultivation stages, crop growth and yield with the
use of a four-band multispectral camera as well as a radiometric thermal
camera
Research for the output produced by using a rotary wing drone vs a fixed
wing Unmanned Aerial Vehicle
Evaluation of the level of influence different heights or/and different
flight plans/use of Digital Surface Model of the UAVs used
Conflicts of Interest. The authors declare no conflict of interest.
21. Colley, A., Banton, L., Down, J and Pither, A. (1992) An expert-novice
comparison in musical composition. Psychology of music, 20, pp 124-34.</p>
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