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                <text>Book Chapter</text>
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              <text>A Systematic Literature Review on Image Preprocessing and Feature Extraction Techniques in Precision Agriculture</text>
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              <text>Computer vision; Feature extraction; Image preprocessing; Precision agriculture; Soil pH and soil nutrition</text>
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              <text>Revolutions in information technology have been helping agriculturists to increase the productivity of the cultivation. Many techniques exist for farming, but precision agriculture (PAg) is one technique that has gained popularity and has become a valuable tool for agriculture. Nowadays, farmers find it difficult to get expert advice regarding crops on time. As a solution, image processing techniques (IPTs) embedded PAg applications are developed to support farmers for the benefit of agriculture. In recent years, IPT has contributed a lot to provide a significant solution in PAg. This systematic review provides an understanding on preprocessing and feature extraction in PAg applications along with limitations. Preprocessing and feature extraction are the major steps of any application using IPTs. This study gives an overall view of the different preprocessing, feature extraction, and classification methods proposed by the researchers for PAg.  2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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          <name>Creator</name>
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              <text>Sharmila G.; Rajamohan K.</text>
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              <text>Lecture Notes on Data Engineering and Communications Technologies, Vol-114, pp. 333-354.</text>
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              <text>Springer Science and Business Media Deutschland GmbH</text>
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              <text>2022-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1007/978-981-16-9416-5_24" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-981-16-9416-5_24&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133686499&amp;amp;doi=10.1007%2F978-981-16-9416-5_24&amp;amp;partnerID=40&amp;amp;md5=b22e32ac07a7a3a72aaf1fc38c1fbf47" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133686499&amp;amp;doi=10.1007%2f978-981-16-9416-5_24&amp;amp;partnerID=40&amp;amp;md5=b22e32ac07a7a3a72aaf1fc38c1fbf47&lt;/a&gt;</text>
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              <text>Restricted Access</text>
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              <text>ISSN: 23674512</text>
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              <text>Online</text>
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              <text>English</text>
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              <text>Sharmila G., Department of Computer Science, CHRIST (Deemed To Be University), Bangalore, 560029, India; Rajamohan K., Department of Computer Science, CHRIST (Deemed To Be University), Bangalore, 560029, India</text>
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