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← Topicランキング · 2026-10
GitHub TOPIC

#agriculture

GitHub Topic「agriculture」がついているAI関連リポジトリの集計。Topicはリポジトリ作者が自己申告するメタタグで、AI関連の文脈で何が「agriculture」と分類されているかを可視化します。

7
タグ付Repo
8
TOP7合計★
0
AIツール痕跡あり
7
TOP表示数

REPOS #agriculture のRepo (TOP 7 / Stars降順)

shayak-98/AGRO-VATORS

AI-powered Smart Farming Rover for Plant Disease Detection, Autonomous Navigation, and Real-time IoT Monitoring

C ★ 5 AI 70 個人 公開済 ↗
anshvashisht08-alt/AI-Farmer-Assistant

AI Farmer Assistant is a smart agriculture support system that helps farmers with crop recommendations, pest detection, weather updates, soil analysis, fertilizer guidance, and AI-powered farming assistance. Built using Python, HTML, CSS, JavaScript, and AI technologies to promote smart and sustainable farming solutions.

HTML ★ 1 AI 100
tochWolf/smart-agriculture-agent

Smart Agriculture AI is an AI-powered smart farming platform designed to help farmers make data-driven decisions. It combines Machine Learning, Computer Vision, Generative AI, RAG, and Weather Intelligence to provide crop recommendations, plant disease detection, irrigation guidance, weather insights, and an AI agriculture assistant. The platform u

Python ★ 1 AI 75
kv-creates/plant-disease-detector

AI-powered plant disease detection web app. Upload leaf photos for real-time diagnosis using GPT-4 Vision or Claude 3 Opus. Get detailed reports with severity, symptoms, treatment, and prevention. Built with React, FastAPI, and Tailwind CSS.

JavaScript ★ 1 AI 70
Keerthana-goud-05/AgriRAG-Agricultural-Policy-Chatbot

AI-powered RAG chatbot that helps Indian farmers access government agricultural schemes using LangChain, ChromaDB, HuggingFace, and GPT

Python ★ 0 AI 100
Ananth-07/AI-Based-Agricultural-Demand-Supply-Forecasting

AI-powered agricultural demand and supply forecasting system using LSTM, XGBoost, and Streamlit with crop recommendation.

Python ★ 0 AI 75
bnithish47/smart-crop-doctor

AI-powered plant disease detection using deep learning, Flask, and TensorFlow.

Python ★ 0 AI 45

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集計対象: 各Repoの最新contentスナップショットの topics_json に小文字一致でマッチしたもの。 算出方法