A dataset with Space (Sentinel-1/2) and Ground (street-level images) components, annotated with crop-type labels for agriculture monitoring.
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Updated
Aug 2, 2022 - Jupyter Notebook
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
A website to monitor crop through collected data on Firebase.
Python tool for displaying time series of Radar backscatter and NDVI values in a web app.
Sugar Beet Leaf Damage Regression Model for Smart Plant Monitoring
A new release of the previous MoniCrop iOS application, but now connected to Firebase.
An iOS application to monitor crops through collected data.
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