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As India is on the verge of getting digitalized India, farmers also need to become smart. They need a system that recommends the crops and its varieties and proper scheduling methods for increasing their crop yield. To obtain the best crop varieties for a given area factors such as soil moisture, fertility, and climatic condition are required. And our system will suggest crops and its varieties on the basis of previous history of crop production and time required for the crop. This system also focuses on recommending suitable fertilizers for crops. It also provides the schedule and quantity of fertilizer to be used. This system will use various machine learning algorithms like Support Vector Machine, Random Forest Regressor, Gradient Boosting, Linear Regression, etc., to recommend best crops, its varieties, and fertilizers. It also provides Automatic Irrigation Management by using IoT.

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Intelligent Farming System for Prediction of Optimal Crop, Fertilizer, and Irrigation System

  • 会议论文

  • 发表日期：

    2026年

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  • Nivedita Shimbre,
  • Prema sahane,
  • Shrutika Amzire,
  • Arya Ganorkar,
  • Pavan Kulkarni,
  • Pawan Bondre

摘要

As India is on the verge of getting digitalized India, farmers also need to become smart. They need a system that recommends the crops and its varieties and proper scheduling methods for increasing their crop yield. To obtain the best crop varieties for a given area factors such as soil moisture, fertility, and climatic condition are required. And our system will suggest crops and its varieties on the basis of previous history of crop production and time required for the crop. This system also focuses on recommending suitable fertilizers for crops. It also provides the schedule and quantity of fertilizer to be used. This system will use various machine learning algorithms like Support Vector Machine, Random Forest Regressor, Gradient Boosting, Linear Regression, etc., to recommend best crops, its varieties, and fertilizers. It also provides Automatic Irrigation Management by using IoT.