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
Sugar Beet Leaf Damage Regression Model for Smart Plant Monitoring
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.
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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