URL: http://github.com/topics/fertilizer-recommendation
="https://github.githubassets.com/assets/primer-9e07ff8eaaaff3a3.css" />A machine learning based website that recommends the best crop to grow, fertilizers to use, and the diseases caught by your crops.
ML solutions and other API based features to support Agriculture and Farmers. Goto Wiki or click on below link for Project Report.
A platform of machine learning based website that recommends the best crop to grow, fertilizers to use, and the diseases caught by your crops.
AI Powered 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.
The Crop Management System is a machine learning-based project designed to provide predictions and recommendations for farmers.
Precision Agriculture based ML and DL project (local host deployment) which have features of crop recommendation, fertilizer recommendation and pesticide recommendation.
ML solutions and other API based features to support Agriculture and Farmers. Goto Wiki or click on below link for Project Report.
Helping Farmers make informed decisions with Machine Learning ! 👩🌾🚜
Predicting the type of fertilizer to be used depending on the crop type and soil type
Hariyali is a web application which is used for crop prediction, fertilizer prediction and crop disease prediction.
AI-based voice-assisted Contact Center for assisting Farmers for their problems.
Bhoomi is a platform offering crop and fertilizer recommendations, climate insights, and second market information to help farmers make data-driven decisions for better agricultural outcomes.
ML solutions and other API based features to support Agriculture and Farmers. Goto Wiki or click on below link for Project Report.
Smart Irrigation System
A R package to advice optimal mix of fertilizers
FastAPI backend for CropFusionAI
Online portal for making recommendations for a fertiliser based on soil paramenters using Machine Learning.
Helping smallholder farmers make smarter fertilizer decisions through deep learning–based nutrient diagnosis.
It is a platform designed to develop location-, context-, and climate- specific agricultural advisories particularly related to optimal fertilizer application
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