There are 2 repositories under fertilizer-recommendation topic.
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.
Smart Irrigation System
FastAPI backend for CropFusionAI
Online portal for making recommendations for a fertiliser based on soil paramenters using Machine Learning.
ML solutions and other API based features to support Agriculture and Farmers. Goto Wiki or click on below link for Project Report.
It is a platform designed to develop location-, context-, and climate- specific agricultural advisories particularly related to optimal fertilizer application
Hariyali is a web application which is used for crop prediction, fertilizer prediction and crop disease prediction.
Model code and Web Build
It recommends fertilizers for farmers based on soil and climate, boosting productivity and sustainability.
This project implements a Prolog-based expert system for fertilizer recommendations, helping farmers optimize agricultural practices. It uses logical inference to suggest suitable fertilizers, improving crop yield and sustainability. The backend integrates with an existing frontend to provide a complete agricultural decision-making solution.
An intelligent agricultural solution that leverages AI to provide personalized crop and fertilizer recommender
Crop, fertilizer, and disease recommendations website based on machine learning models that are trained using very large datasets taken from kaggle