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The rapid advancement of Artificial Intelligence (AI) technology has catalyzed the development of innovative applications across numerous sectors, notably agriculture. This research introduces an AI-driven system designed to enhance crop cultivation practices. The proposed system leverages a machine learning model to analyze critical factors influencing crop yield, offering tailored recommendations for optimal cultivation strategies. By incorporating variables such as soil quality, weather patterns, and crop types, the system delivers data-driven guidance to farmers. An evaluation conducted using historical agricultural data demonstrates that the system significantly boosts crop yields compared to conventional farming methods.

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Implementation of Crop Cultivation Intelligent Decision Support System Using Fuzzy Logic

  • 会议论文

  • 发表日期：

    2025年

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  • Uttam Anantrao Deshmukh,
  • Avinash Appasha Chormale,
  • Moushumi Barman

摘要

The rapid advancement of Artificial Intelligence (AI) technology has catalyzed the development of innovative applications across numerous sectors, notably agriculture. This research introduces an AI-driven system designed to enhance crop cultivation practices. The proposed system leverages a machine learning model to analyze critical factors influencing crop yield, offering tailored recommendations for optimal cultivation strategies. By incorporating variables such as soil quality, weather patterns, and crop types, the system delivers data-driven guidance to farmers. An evaluation conducted using historical agricultural data demonstrates that the system significantly boosts crop yields compared to conventional farming methods.