Bayesian Optimization of insect trap distribution for pest monitoring efficiency in agroecosystems.

ABSTRACT: Insect trap networks targeting agricultural pests are commonplace but seldom optimized to improve precision or efficiency. Trap site selection is often driven by user convenience or predetermined trap densities relative to sensitive host crop abundance in the landscape. Monitoring for invasive pests often requires expedient decisions based on dispersal potential and ecology to inform trap placement. Optimization of trap networks using contemporary analytical approaches can help users determine the distribution of traps as information accumulates and priorities change. In this study, a Bayesian optimization (BO) algorithm was used to learn more about the optimal distribution of a fine-scale trap network targeting Helicoverpa zea (Boddie), a significant agricultural pest across North

SUBMITTER: Yanchenko E 

PROVIDER: S-EPMC11794318 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature