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Utilizing artificial intelligence (AI) for sustainable agriculture: Precision farming as a catalyst for environmental conservation

NamanJohns Tiyndel GJitender Kumar BhatiaNitin BhardwajRahul

Abstract

The integration of Artificial Intelligence (AI) and the Internet of Things (IoT) has arisen as a game-changing factor in the quest for sustainable agriculture. This paper explores the intricate relationship between AI, IoT, and sustainable agriculture, showcasing successful initiatives through case studies. Projections indicate an 85 percent automation rate in business operations by AI by 2025, emphasizing its pervasive impact, particularly in precision farming. The study reveals practical insights for stakeholders, highlighting the potential of AI-driven precision farming to optimize resource allocation, increase productivity, and reduce environmental harm. Challenges, including accessibility and ethical considerations, are addressed, emphasizing the need for policy interventions and capacity-building initiatives. The paper concludes with a call to unleash the transformative capabilities of AI and IoT, fostering environmental preservation, global food security, and economic prosperity in agriculture.

Impact of AI and Big Data on Business and SocietyAgricultureSustainable agricultureIntegrated farmingPrecision agricultureEnvironmental resource managementEnvironmental scienceBusinessAgroforestryEnvironmental planningEcology
Citations
3
FWCI
1.47
field-weighted impact
References
2
Percentile
82%
vs. same field & year
Citations per year
References
From Industry 4.0 to Agriculture 4.0: Current Status, Enabling Technologies, and Research Challenges
IEEE Transactions on Industrial Informatics · 2020 · 759 citations
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Utilizing artificial intelligence (AI) for sustainable agriculture: Precision farming as a catalyst for environmental conservation · Scinovex