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crop-recommendation

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agriculture-portal

ML solutions and other API based features to support Agriculture and Farmers. Goto Wiki or click on below link for Project Report.

  • Updated May 7, 2023
  • PHP

An application that provides complete assistance to farmers right from sowing to harvesting. Its features include plant disease detection, crop recommendation, real-time API support for environment analysis, detailed crop-cost analysis, buy/sell/rent farming equipment and an interactive farmers' community.

  • Updated Oct 2, 2022
  • JavaScript

The model focuses on predicting the crop yield in advance by analyzing factors like district (assuming same weather and soil parameters in a particular district), state, season, crop type using various supervised machine learning techniques. This helps the farmers to know the crop yield in advance to plan and choose a crop that would give a bett…

  • Updated Sep 27, 2022
  • Jupyter Notebook

An Intelligent Crop Recommendation system using Machine Learning that predicts crop suitability by factoring all relevant data such as temperature, rainfall, location, and soil condition. This system is primarily concerned with performing AgroConsultant's principal role, which is to provide crop recommendations to farmers.

  • Updated Jan 1, 2022
  • Jupyter Notebook
AgriSens

Smart Farming Assistant uses advanced technology, including machine learning and CNNs, to provide farmers with crop recommendations, disease identification, weather forecasts, fertilizer recommendation, and crop management guidance through a user-friendly web app.

  • Updated Dec 21, 2024
  • Jupyter Notebook

We propose an Intelligent Crop Recommendation and Yield prediction system using Machine Learning that predicts crop suitability by factoring all relevant data such as temperature, rainfall, location, and soil condition. The Yield is predicted based on the parameters of area of land available, agricultural season and the past observations of yield .

  • Updated Jun 2, 2023
  • Jupyter Notebook

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