Automated Low-Cost Insect Monitoring System with High-Resolution Computer Vision for Robust Species Classification

A low-cost, open-source, and scalable multisensor system has been developed for automated insect monitoring and classification, with a focus on optimizing the imaging unit to capture high-quality images for robust species-level identification using deep learning models.