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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM44407
Volume:
9 |
4 |
Apr 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
â The evolving field of disruptive technologies has recently gained significant interest in various industries, including agriculture. The fourth industrial revolution has significantly impacted agriculture, with the application of artificial intelligence (AI) and machine learning (ML) reshaping the industry. This study reviews research advances in AI in the agricultural sector, focusing on its disruptive potential. The authors highlight the challenges urban populations face in developing countries during unpredictable global economic conditions. AI can optimize crop-related data, enhance crop production predictability, help farmers cultivate healthier crops, manage pests, monitor soil and growing conditions, analyse data, and manage food supply chain activities. AI can also help farmers choose the optimal time to plant seeds, offer weather forecasts, increase crop quality, and hasten product delivery. However, the use of AI in agriculture is limited due to its diverse impacts, ethical concerns, technological development, and ecological impacts. The research proposes adopting a differential approach to develop AI in agriculture, aiming for robustness, environmental value, and social desirableness, leading to greater acceptance and trust among farmers.
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Publication Date
4/12/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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