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.
AI-based voice-assisted Contact Center for assisting Farmers for their problems.
A platform of machine learning based website that recommends the best crop to grow, fertilizers to use, and the diseases caught by your crops.
Precision Agriculture based ML and DL project (local host deployment) which have features of crop recommendation, fertilizer recommendation and pesticide recommendation.
The Crop Management System is a machine learning-based project designed to provide predictions and recommendations for farmers.
ML solutions and other API based features to support Agriculture and Farmers. Goto Wiki or click on below link for Project Report.
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.
Helping Farmers make informed decisions with Machine Learning ! 👩🌾🚜
Predicting the type of fertilizer to be used depending on the crop type and soil type
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
Hariyali is a web application which is used for crop prediction, fertilizer prediction and crop disease prediction.
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.
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
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.
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