Field detection of pests based on adaptive feature fusion and evolutionary neural architecture search

Yin Ye, Yaxiong Chen, Shengwu Xiong

Abstract: Highlights•The effective utilization of plant context information by the adaptive feature fusion.•The adequate design of pest detection model by the evolutionary neural architecture search.•The detection accuracy of eleven field pests is enhanced by the PestNAS.