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crop-monitoring

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A curated collection of 45 high-quality RGB image datasets for computer vision in agriculture. Features datasets for weed detection, disease identification, and crop monitoring, focusing on natural field scenes. Part of our GIL 2025 survey paper.

  • Updated Feb 26, 2025
  • TeX

AI-powered plant disease detection system using deep learning. Upload plant images to instantly identify 30+ diseases across Apple, Corn, Grape, Potato, Tomato & more crops. Built with FastAPI + React TypeScript. Ready for cloud deployment.

  • Updated Sep 29, 2025
  • Python

DroneUI is a Python-based system that allows farmers to manually control a DJI Tello EDU drone, capture video of tomato crops, and automatically detect signs of leaf disease using a custom-trained YOLOv11 model. It features a user-friendly interface built with PyQt6 and generates detailed flight reports with visual and statistical summaries.

  • Updated Jul 31, 2025
  • Python

AI-powered smart agricultural IoT monitoring system using Raspberry Pi sensors and Llama 3.2 LLM for offline crop management. Provides real-time environmental data analysis and natural language farming insights without internet dependency.

  • Updated Jul 20, 2025
  • Python

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