Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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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 & 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.
Vipin Kumar Choudhary. 2026. \u201cApplications of Emerging Smart Technologies in Farming Systems: A Review\u201d. Global Journal of Computer Science and Technology - G: Interdisciplinary GJCST-G Volume 23 (GJCST Volume 23 Issue G1): .
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
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Total Score: 101
Country: India
Subject: Global Journal of Computer Science and Technology - G: Interdisciplinary
Authors: Vipin Kumar Choudhary (PhD/Dr. count: 0)
View Count (all-time): 74
Total Views (Real + Logic): 177
Total Downloads (simulated): 27
Publish Date: 2026 01, Fri
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Neural Networks and Rules-based Systems used to Find Rational and
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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 & 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.
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