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Accurate crop identification is crucial for India’s diverse agricultural landscape, impacting resource allocation, decision-making, and sustainable development. This paper reviews crop identification techniques, encompassing traditional and modern methods and highlighting their strengths and weaknesses. It emphasizes the significance of integrating remote sensing data and crop modelling for yield estimation. Successful literature studies from India illustrate yield prediction’s potential benefits in supply chain management, market predictions, and policy formulation. Challenges persist, particularly in regions like North-East India, characterized by complex terrain and limited infrastructure. Addressing these challenges and fostering research in crop identification is crucial for harnessing their agricultural potential.

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Crop Type Identification in Indian Agriculture: A Contemporary Review

  • 会议论文

  • 发表日期：

    2025年

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  • Sanjay Moulik,
  • V. Kethareswaran

摘要

Accurate crop identification is crucial for India’s diverse agricultural landscape, impacting resource allocation, decision-making, and sustainable development. This paper reviews crop identification techniques, encompassing traditional and modern methods and highlighting their strengths and weaknesses. It emphasizes the significance of integrating remote sensing data and crop modelling for yield estimation. Successful literature studies from India illustrate yield prediction’s potential benefits in supply chain management, market predictions, and policy formulation. Challenges persist, particularly in regions like North-East India, characterized by complex terrain and limited infrastructure. Addressing these challenges and fostering research in crop identification is crucial for harnessing their agricultural potential.