AGRO TECH AI: Agriculture with Artificial Intelligence

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AGRO TECH AI: Agriculture with Artificial Intelligence

Satyam Sinha1, Suman Rathore2, Khushi Sahu3 , Piyush Vishwakarma4

¹-3Department of Computer Science Engineering : Artificial Intelligence, Shri Shankaracharya Technical Campus, Bhilai (C.G.), India

4Department of Computer Science , Shri Shankaracharya Technical Campus, Bhilai (C.G.), India

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Abstract - 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.

Keywords – Artificial Intelligence(AI), Machine Learning(ML), Agriculture, Disruptive Technologies, Crop Management , Soil Management.

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