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vishnuramyatha / repository
AI-powered crop recommendation system built with Python, Scikit-learn, Flask, HTML, and CSS for sustainable farming.
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AI-powered crop recommendation system built with Python, Scikit-learn, Flask, HTML, and CSS for sustainable farming.
Selected from shared topics, language and repository description—not editorial ratings.
omroy07 /
AgriTech is an AI-powered web platform that offers crop recommendations, yield prediction, disease detection, and collaborative tools to empower farmers and promote smart, sustainable agriculture.
64/100 healthravikant-diwakar /
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.
77/100 healthneeru24 /
Agri-Vision is an AI-powered cotton crop analysis system that uses deep learning and computer vision to detect growth stages, identify crop health issues, and provide smart recommendations through a Flask-based web interface and REST API.
71/100 healthHarrickChristoJP /
DEMETER is an AI-powered plant disease detection web app that helps farmers identify crop diseases early through image analysis. Users register, enter basic crop details, and upload leaf images. A trained deep learning model analyzes the photo and predicts disease presence, offering actionable recommendations.
60/100 healthAnonymousV73X /
🌿 Shamba AI — AI-powered crop disease detection for Kenyan farmers. Upload a photo, get instant diagnosis, treatment steps & product recommendations. Works on 2G/3G.
69/100 healthSagnikBasak04 /
KisanSahayak is an AI-powered, end-to-end smart agriculture solution that provides farmers with data-driven insights via web and mobile apps. Using advanced machine learning, it offers rainfall analysis, crop recommendations, and disease prediction to help optimize yields and improve crop health. 🌾
61/100 health