Predicting life-history traits in a stored bean petst beetle Callosobruchus chinensis (Coleoptera: Chrysomelidae: Bruchinae) using machine learning
This study demonstrates that machine learning models, particularly neural networks, can effectively predict life-history traits such as elytral length and adult lifespan in the azuki bean beetle *Callosobruchus chinensis* by analyzing biological and environmental variables, thereby offering a valuable tool for advancing insect ecology and pest management research.