Popular GitHub Repositories for Fertilizer

A machine learning based website that recommends the best crop to grow, fertilizers to use, and the diseases caught by your crops.

AI-based voice-assisted Contact Center for assisting Farmers for their problems.

A React, Flask and Machine Learning based web application for Crop and Fertilizer Recommendation

A platform of machine learning based website that recommends the best crop to grow, fertilizers to use, and the diseases caught by your crops.

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.

This project aims to design, develop and implement the training model by using different inputs data. The machine will able to learn the features and extract the crop yield from the data by using data mining and data science techniques.

Helping Farmers make informed decisions with Machine Learning ! ?‍??

The Smart Farming Assistant is an AI-powered tool that helps farmers make better crop and fertilizer decisions by combining real-time weather and soil data with machine learning. It features a user-friendly web dashboard, live weather integration, and tailored recommendations to boost farm productivity.

? Smart Agriculture Assistant: NLP-powered system that extracts agricultural parameters (temperature, humidity, moisture, soil type, NPK levels) from natural language input to provide crop and fertilizer recommendations. Built with NER, DeepSeek, Flask, and Docker support.

? Smart Agriculture Assistant: NLP-powered system that extracts agricultural parameters (temperature, humidity, moisture, soil type, NPK levels) from natural language input to provide crop and fertilizer recommendations. Built with NER, DeepSeek, Flask, and Docker support.

AgroTech is a revolutionary Android app designed to bridge the gap between farmers and urbanites. It provides a seamless integration of machine learning for crop prediction, fertilizer recommendations, and expert agricultural advice. With a decentralized Web3 network, AgroTech prioritizes security, privacy, and user ownership.