Author：Tainan District Agricultural Research and Extension Station/Department of Bio-Industrial Mechatronics Engineering, NTU

Under intense and high humidity nursery environments, pests and diseases outbreak easily occur after emerging. This research aims to develop a monitoring and early warning system of major pests and diseases of tomatoes in nursery greenhouses. This is realized by performing automatic detection and recognition of insect pests and analyzing the relationship between the environmental condition and disease occurrence. Based on the real-time count information of insect pests and prediction of disease occurrences, warning messages are sent to the mobile APP to notify the nursery greenhouse managers for preventing outbreaks on time and improve the efficiency of pesticide application.