A dataset with Space (Sentinel-1/2) and Ground (street-level images) components, annotated with crop-type labels for agriculture monitoring.

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.

CS3282 - Industrial Computer Engineering Project. Helps farmers to apply the right amount of fertilizers to the fields.

Corn Health Monitoring System (Designed for Ceylon Biscuit Limited) using Aerial Imagery

Sugar Beet Leaf Damage Regression Model for Smart Plant Monitoring

A website to monitor crop through collected data on Firebase.

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.

Python tool for displaying time series of Radar backscatter and NDVI values in a web app.

A new release of the previous MoniCrop iOS application, but now connected to Firebase.

An iOS application to monitor crops through collected data.

IVDisplays Website