A crop monitoring system made using a Raspberry Pi 4B, a 7-in-1 NPK sensor, an ultrasonic sensor, and an ESP32 Wi-Fi module.
-
Updated
Dec 4, 2025 - Python
A crop monitoring system made using a Raspberry Pi 4B, a 7-in-1 NPK sensor, an ultrasonic sensor, and an ESP32 Wi-Fi module.
Sugar Beet Leaf Damage Regression Model for Smart Plant Monitoring
Corn Health Monitoring System (Designed for Ceylon Biscuit Limited) using Aerial Imagery
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.
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.
Python tool for displaying time series of Radar backscatter and NDVI values in a web app.
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.
Django web application for monitoring waterlogging risk in agricultural fields using Sentinel-1 satellite data
Add a description, image, and links to the crop-monitoring topic page so that developers can more easily learn about it.
To associate your repository with the crop-monitoring topic, visit your repo's landing page and select "manage topics."