With the advancement of agriculture, the economic losses and food safety threats caused by major plant diseases and pests to agriculture and forestry are becoming increasingly severe. In 2024, China's main food crops face challenges from 22 types of diseases and pests, with an expected affected area of 155 411 khm² and a yield loss exceeding 1.5×10¹¹ t. This article provides an overview of the current status of crop disease and pest warning and emergency control technologies, where disease and pest warning technologies include the Internet of Things, remote sensing technology, and computer vision recognition technology; emergency control technologies cover the understanding of chemical communication mechanisms for the development of new pesticides and equipment, innovation in physical extermination and intelligent control products, utilization and product innovation of biological control resources, research on pest damage-type variation mechanisms and sustainable use of plant resistance varieties, research and development of pesticide resistance mechanisms and control technologies, as well as research and application technologies for the ecological regulation of diseases and pests. The aim is to achieve effective control of diseases and pests through interdisciplinary cooperation, while reducing environmental impact and promoting sustainable agricultural development. The article also discusses the application of disease and pest warning and emergency control technologies in the agricultural field, analyzes their important role in the development of agricultural science and technology, and summarizes the challenges faced in each field, such as the insufficient accuracy of unmanned aerial vehicle remote sensing monitoring technology, difficulties in sample collection for disease and pest image automatic recognition technology, the failure of chemical control to achieve precise application, the lagging production processes and market promotion of green formulations, and the incomplete construction of disease and pest warning systems. In the future, the application of Internet of Things technology to disease and pest warning should be accelerated, the construction of smart agriculture and disease and pest warning systems should be promoted, and research should be conducted on unmanned aerial vehicle remote sensing monitoring technology, disease and pest image automatic recognition technology, chemical control technology, and biological control technology.