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The agricultural sector is grappling with a decline attributed to entrenched traditional practices, leading to low productivity, and diminishing farmer morale, which in turn fuels youth migration abroad. Although agriculture is an important element of Maharashtra’s character, it faces persistent hurdles in increasing productivity. This underlines the need for more efficient labor practices and increased soil fertility on arable land. Smart agriculture, enabled by IoT-based technology, presents a possible answer to these difficulties, with the ability to retain skilled young people while revitalizing the business. The goal of this research is to create an IoT-driven monitoring system for arable land that will use machine learning to predict and recommend crops. Farmers may gain critical insights for informed decision-making by combining IoT and machine learning technologies. This method may help reverse the trend of young people leaving agriculture and contribute to the revival of Maharashtra’s farming economy.

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A Novel IoT and Machine Learning Approach for Crop Pattern Analysis for Improved Farming Efficiency

  • 会议论文

  • 发表日期：

    2025年

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  • Sheela Chinchmalatpure,
  • Pranav Barapate,
  • Aaryan Chavan,
  • Parshwa Hagare,
  • Pratik Khinde

摘要

The agricultural sector is grappling with a decline attributed to entrenched traditional practices, leading to low productivity, and diminishing farmer morale, which in turn fuels youth migration abroad. Although agriculture is an important element of Maharashtra’s character, it faces persistent hurdles in increasing productivity. This underlines the need for more efficient labor practices and increased soil fertility on arable land. Smart agriculture, enabled by IoT-based technology, presents a possible answer to these difficulties, with the ability to retain skilled young people while revitalizing the business. The goal of this research is to create an IoT-driven monitoring system for arable land that will use machine learning to predict and recommend crops. Farmers may gain critical insights for informed decision-making by combining IoT and machine learning technologies. This method may help reverse the trend of young people leaving agriculture and contribute to the revival of Maharashtra’s farming economy.