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<journal-id journal-id-type="publisher">global-journal-of-computer-science-and-technology-g-interdisciplinary</journal-id>
<journal-title-group>
<journal-title>Global Journal of Computer Science and Technology - G: Interdisciplinary</journal-title>
</journal-title-group>
<issn publication-format="print">0975-4350</issn>
<issn publication-format="electronic">0975-4172</issn>
<publisher><publisher-name>Global Journals Publishing Group Incorporated</publisher-name></publisher>
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<article-id pub-id-type="publisher-id">104963</article-id>
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<article-title>Applications of Emerging Smart Technologies in Farming Systems: A Review</article-title>
<subtitle>ICT and Smart Technologies in Modern Agriculture</subtitle>
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<contrib-group>
<contrib contrib-type="author"><name><surname>Choudhary</surname><given-names>Vipin Kumar</given-names></name><xref ref-type="aff" rid="aff1" />
</contrib>
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<aff id="aff1">INDIA, ICAR-Indian Institute of Farming Systems Research</aff>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2023-04-17">
<day>17</day>
<month>04</month>
<year>2023</year>
</pub-date>
<volume>23</volume>
<issue>G1</issue>
<fpage>49</fpage>
<lpage>64</lpage>
<abstract><p>The future of farming systems depends mainly on adopting innovative, intelligent, and smart technologies. The agricultural sector’s growth and progress are more critical to human survival than any other industry. Extensive multidisciplinary research is happening worldwide for adopting intelligent technologies in farming systems. Nevertheless, when it comes to handling realistic challenges in making autonomous decisions and predictive solutions in farming, applications of Information &amp; Communications Technologies (ICT) need to be utilized more. Information derived from data worked best on year-to-year outcomes, disease risk, market patterns, prices, or customer needs and ultimately facilitated farmers in decision-making to increase crop and livestock production. Innovative technologies allow the analysis and correlation of information on seed quality, soil types, infestation agents, weather conditions, etc. This review analysis highlights the concept, methods, and applications of various futuristic cognitive innovative technologies along with their critical roles played in different aspects of farming systems like Artificial Intelligence (AI), IoT, Neural Networks, utilization of unmanned vehicles (UAV), Big data analytics, Blok chain technology etc.</p></abstract>
<kwd-group kwd-group-type="author-generated">
<kwd>agriculture</kwd>
<kwd>artificial intelligence</kwd>
<kwd>farming systems</kwd>
<kwd>neural networks</kwd>
<kwd>smart technologies.</kwd>
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<p>The future of farming systems depends mainly on adopting innovative, intelligent, and smart technologies. The agricultural sector&#039;s growth and progress are more critical to human survival than any other industry. Extensive multidisciplinary research is happening worldwide for adopting intelligent technologies in farming systems. Nevertheless, when it comes to handling realistic challenges in making autonomous decisions and predictive solutions in farming, applications of Information &amp; Communications Technologies (ICT) need to be utilized more. Information derived from data worked best on year-to-year outcomes, disease risk, market patterns, prices, or customer needs and ultimately facilitated farmers in decision-making to increase crop and livestock production. Innovative technologies allow the analysis and correlation of information on seed quality, soil types, infestation agents, weather conditions, etc. This review analysis highlights the concept, methods, and applications of various futuristic cognitive innovative technologies along with their critical roles played in different aspects of farming systems like Artificial Intelligence (AI), IoT, Neural Networks, utilization of unmanned vehicles (UAV), Big data analytics, Blok chain technology etc.</p>
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