Application of advanced technologies like artificial intelligence (AI) and machine learning (ML) techniques is becoming an emerging theme for helping modern farmers completely overcome their challenges which is known as smart farming/precision agriculture. AI-enhanced farming: Applications and opportunities—The use of ML algorithms for crop management, yield prediction, irrigation optimization, pest control, automation of techno systems. Using information acquired from satellite images, sensors, weather predictions, and even historical data, these cutting-edge technologies can deliver extensive data in real time, allowing farmers to make decisions that will ultimately raise productivity, sustainability, and profitability. In addition, the review emphasizes the ongoing research activities and suggests some future efforts in developing sophisticated models that can learn to adjust to complex.

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AI-Enhanced Farming: Harnessing Machine Learning for Smart Agriculture

  • Akhilesh Kumar Shah,
  • Rakesh Thakur,
  • Payal Thakur,
  • Shanu Khare,
  • Dipti Sinha,
  • Navjot Singh Talwandi

摘要

Application of advanced technologies like artificial intelligence (AI) and machine learning (ML) techniques is becoming an emerging theme for helping modern farmers completely overcome their challenges which is known as smart farming/precision agriculture. AI-enhanced farming: Applications and opportunities—The use of ML algorithms for crop management, yield prediction, irrigation optimization, pest control, automation of techno systems. Using information acquired from satellite images, sensors, weather predictions, and even historical data, these cutting-edge technologies can deliver extensive data in real time, allowing farmers to make decisions that will ultimately raise productivity, sustainability, and profitability. In addition, the review emphasizes the ongoing research activities and suggests some future efforts in developing sophisticated models that can learn to adjust to complex.