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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ISPRS-Archives</journal-id>
<journal-title-group>
<journal-title>The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">ISPRS-Archives</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2194-9034</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/isprs-archives-XLIII-B2-2020-1253-2020</article-id>
<title-group>
<article-title>DEVELOPMENT OF HARDWARE AND SOFTWARE ARCHITECTURE FOR ANALYSIS AND PROCESSING OF THE FIELD DATA</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Razakova</surname>
<given-names>M. G.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ainakulov</surname>
<given-names>Z. Z.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Kuzmin</surname>
<given-names>A. G.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Fedorov</surname>
<given-names>I. 0.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Yergaliev</surname>
<given-names>R. K.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>JSC “National Center of Space Research and Technology”, 050010, Almaty, Republic of Kazakhstan</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Al-Farabi Kazakh National University, 050040, Almaty, Republic of Kazakhstan</addr-line>
</aff>
<pub-date pub-type="epub">
<day>14</day>
<month>08</month>
<year>2020</year>
</pub-date>
<volume>XLIII-B2-2020</volume>
<fpage>1253</fpage>
<lpage>1258</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2020 M. G. Razakova et al.</copyright-statement>
<copyright-year>2020</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XLIII-B2-2020/1253/2020/isprs-archives-XLIII-B2-2020-1253-2020.html">This article is available from https://isprs-archives.copernicus.org/articles/XLIII-B2-2020/1253/2020/isprs-archives-XLIII-B2-2020-1253-2020.html</self-uri>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XLIII-B2-2020/1253/2020/isprs-archives-XLIII-B2-2020-1253-2020.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XLIII-B2-2020/1253/2020/isprs-archives-XLIII-B2-2020-1253-2020.pdf</self-uri>
<abstract>
<p>This article considers the problem of requiring the hardware and software implementation of complex calculations allowing automating the whole process of analysis and processing of the field data acquired using the sensors installed on UAV. The article reveals and substantiates the necessity of building a flexible architecture of the hardware-software complex. The hardware-software complex is focused on measuring humidity of the surface air layer above the soya field in order to control the irrigation quality. The measurements showed good correlation with the ground humidity factors. MCRI2 index was used to assess the state of vegetation in controlled areas. In the part of the field with high humidity, MCRI2 index was also higher. The results of aerial photo processing, as well as analysis and interpretation of aerial survey data can be further used to take measures to improve the microclimate of crops.</p>
</abstract>
<counts><page-count count="6"/></counts>
</article-meta>
</front>
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