Towards Developing an Epidemic Monitoring and Warning System for Diseases and Pests of Hot Peppers in Guizhou, China

Guizhou province is the largest area of hot pepper cultivation and processing in China. However, diseases pests are major bottlenecks for sustainable development industry. This study proposes a solution that combines intelligent monitoring equipment, prediction model decision support system peppers, including demonstration province. We scouted Zunyi city, deployed weather stations automatic pathogens pest equipment. A was developed to forecast powdery mildew anthracnose based on long short-term memory, with accuracy 0.74 0.68, respectively. Using big data analysis an app outbreaks as front desks, we epidemic warning peppers Guizhou. The results could effectively serve grass-roots managers, increase productivity, reduce production costs overall have high effect. concept be extended other crops accelerate process agricultural modernization