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This paper presents a React Native mobile app that integrates machine learning models to deliver critical agricultural predictions and recommendations to farmers and agronomists. The application offers features such as Crop Yield Prediction, Crop Recommendations, Fertilizer Recommendations, and Crop Price Prediction. The app supports iOS and Android platforms to facilitate more informed decision-making, the app aims to optimize farming practices, increase efficiency, and promote environmentally sustainable methods. The potential impact on the agricultural sector is profound, as these tools could drive significant advancements in productivity and sustainability.

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Machine Learning Platform for Agricultural Predictions and Recommendations

  • 会议论文

  • 发表日期：

    2025年

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  • Rupali Deshpande,
  • Sachin Sawant,
  • Manthan Khawse,
  • Archit Khatri,
  • Yadhni Kharkar,
  • Prasanna Khebade,
  • Harshwardhan Khatare,
  • Arnav Khilare

摘要

This paper presents a React Native mobile app that integrates machine learning models to deliver critical agricultural predictions and recommendations to farmers and agronomists. The application offers features such as Crop Yield Prediction, Crop Recommendations, Fertilizer Recommendations, and Crop Price Prediction. The app supports iOS and Android platforms to facilitate more informed decision-making, the app aims to optimize farming practices, increase efficiency, and promote environmentally sustainable methods. The potential impact on the agricultural sector is profound, as these tools could drive significant advancements in productivity and sustainability.