crop-management

BaleUAVision: High-resolution UAV dataset for automated hay bale detection and counting. Includes 2,599 annotated images, flight metadata, orthomosaics, segmentation formats (COCO, YOLO, CSV, masks) and YOLOv11 benchmark.

This project is an AI-powered plant disease prediction tool utilizing Convolutional Neural Networks (CNN). It is specialized for identifying diseases in maize, potato, tomato, and rice crops, helping farmers and agricultural professionals detect and manage crop diseases early.

Open-source AI skills for Canadian cannabis cultivation, post-harvest, drying and curing, processing governance, quality assurance, compliance, and commercial operations.

AgriLink is a digital agriculture platform connecting farmers, aratdars, and retailers. It enables crop listing, live bidding, product trading, inventory management, weather-based crop suggestions, order management, and real-time communication to make Bangladesh’s agricultural supply chain more efficient and transparent.

AI-powered crop advisory platform for Telangana farmers hyper-local climate risk forecasts, satellite data (NASA MODIS), RAG knowledge base with official govt. documents, bilingual Telugu/English. Built with FastAPI, React, Pinecone & Gemini.

The Crop Health Management and Monitoring project harnesses the power of machine learning to provide a comprehensive solution for farmers and agricultural professionals. This system offers real-time monitoring, predictive analytics, and actionable insights to help maintain optimal crop health.

An innovative, multi-lingual agricultural mobile app built with Flutter and Python. Features real-time weather alerts, a GPT-3.5 powered farming chatbot, a comprehensive pest management store, and an expert help desk.

An AI-powered agricultural assistant built with LLM technology to help farmers get instant advice, answer crop-related questions, and access actionable insights for smarter farming. Designed for accessibility, reliability, and real-world impact.

This repository features the development of an AgroTech Solutions system. It includes a data-driven crop recommendation system, offering guidance on optimal fertilizer usage based on soil conditions, and an integrated solution for early detection of crop diseases.

🌱 GreenGo - Smart Agricultural Platform empowering farmers with AI-powered disease detection, intelligent crop planning, real-time weather monitoring, and government scheme awareness. Built with React, Firebase, and Tailwind CSS.

🌊 Streamline water management with Aquanex-Server, a robust tool for monitoring and analyzing aquatic data efficiently.

Python OOP-based Digital Agriculture Management System with a Tkinter GUI — featuring yield prediction, crop health tracking, cost breakdowns, and data-driven farming recommendations.

Farm and ranch management app: fields and crop plans, cattle, grain bins, irrigation, equipment, spray records and farm books, on a phone or a desktop. Built by a working mixed farm in southern Alberta and shared as source — a prototype, free for farms, not for resale.

Welcome to Ka-Halaman! Version 1 serves as the foundational prototype, crafted to showcase structuring of agricultural data.

Protect your corn crops from Southern Rust with our Corn Rust Disease Risk Detector. Get instant risk predictions using ZIP code, weather, and crop stage. Export results as CSV or PDF and make informed decisions about fungicide application or early harvest.

Agricultural intelligence platform for Indian farmers with AI chat, crop management, and market price analysis

🚀 A scalable Python backend for an AI chatbot built for agriculture and aquaculture. It delivers real-time insights on crops, pest detection, and fish farming. With secure APIs and modular design, it integrates seamlessly into apps, empowering farmers 🌱 and businesses to boost productivity, efficiency, and sustainability.

Relational database backend for crop & disease management (MySQL schema + stored procedures for alerts, recommendations, and yield data).