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Precision agriculture involves utilizing data-driven strategies and cutting-edge technologies to improve crop management. By leveraging machine learning and artificial intelligence (AI), targeted pest control, enhanced soil management, real-time crop monitoring, and efficient irrigation can be achieved. These advancements aim to minimize waste, boost crop yields, and ensure optimal resource utilization. Additionally, AI technologies optimize agricultural supply chain operations, improving logistics, cutting costs, and promoting sustainability. This data-focused method is revolutionizing agriculture by creating smarter and eco-friendly farming techniques. Precision agriculture, through enhanced production, assists farmers in meeting the rising food demand with a limited environmental footprint.

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Artificial Intelligence in Agriculture: Technology-Powered Strategies for a Sustainable Farming Future

  • 章节

  • 发表日期：

    2026年

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  • Shallu Duggal,
  • Shivani Sood,
  • Shilpa,
  • Kamal Nain Sharma,
  • Monika Sethi,
  • Chander Prabha

摘要

Precision agriculture involves utilizing data-driven strategies and cutting-edge technologies to improve crop management. By leveraging machine learning and artificial intelligence (AI), targeted pest control, enhanced soil management, real-time crop monitoring, and efficient irrigation can be achieved. These advancements aim to minimize waste, boost crop yields, and ensure optimal resource utilization. Additionally, AI technologies optimize agricultural supply chain operations, improving logistics, cutting costs, and promoting sustainability. This data-focused method is revolutionizing agriculture by creating smarter and eco-friendly farming techniques. Precision agriculture, through enhanced production, assists farmers in meeting the rising food demand with a limited environmental footprint.