How AI Is Transforming Insect Research?

Insects make up most of the world’s organisms. Research suggests their numbers are on decline, with many species going extinct. However, monitoring insect ecosystems is difficult, as the current methods are labour intensive and inefficient. But thanks to advances in AI, now entomologists use deep learning models for classification of insects. Convolution Neural Networks (CNNs) shows great potential in the automatic detection and classification of insects from videos and even time-lapse images. Image collection has also become easy using advanced sensors. Microcomputers, then use advanced processors, for object-based detection in real-time. Radar sensors also allow the study of insects at a scale. Here, we dig into recent research to look at the various ways in which sensors and deep learning techniques can be used to move the needle in entomology research.  Applications The information captured through various sensors can be analysed using various deep-learning me