This monograph provides a detailed and systematic introduction to the application of deep learning technology in the intelligent monitoring of crop diseases and pests. Taking 24 types of crop pests, wheat aphids, and wheat diseases with complex backgrounds as examples, a large-scale crop pest and disease dataset was constructed to provide necessary data support for the deep learning module. Various schemes for identifying and detecting large-scale crop diseases and pests based on deep conv...

With growing concerns surrounding the impact of climate change on both native and invasive pest invasions, coupled with the rising threat of global food insecurity, more research is required to understand the major insect pests of cereals, including how best to control and monitor them.Advances in understanding insect pests affecting wheat and other cereals provides a comprehensive review of the wealth of research that addresses this challenge. This collec...