Crops

In this work, we leverage the use of an embedded device (Raspberry Pi 4B) and perform aggressive model compression by means of pruning-quantization aware training (PQAT) in addition of hardware acceleration devices to perform real-time image classification of leaf diseases using thermal camera.

Are you looking for a robust dataset for real-time classification of leaf diseases using thermal imaging? Check our paper “An Edge Computing-Based Solution for Real-Time Leaf Disease Classification using Thermal Imaging”, just published in the IEEE Geoscience and Remote Sensing Letters.