| China is the world’s largest producer of facility horticulture,with a total area of 3.7 million hectares(2019),accounting for more than 90% of the world’s total area.Therefore,pest control is the safety and yield guarantee of facility production.In recent years,outbreaks of botrytis pests have begun in China’s facility production,causing serious economic losses.Current physico-chemical control methods are ineffective in suppressing whiteflies in some cases,and research has shown that whiteflies have developed resistance to some organophosphorus insecticides,and pesticide spraying can cause food safety problems.In this paper,an early warning system logic is designed to predict the occurrence of whitefly infestation and provide a sub-function for the Agricultural Internet of Things to provide guidance to farmers on the actual production of whitefly pest control.The main work of this paper:(1)records the performance of the process from occurrence to reaching a mild infestation of tobacco whiteflies on the yellow board.The early warning point was determined to be when the number of whiteflies captured on the yellow board was 23 per day.(2)The relationship between the development of whiteflies and the maximum temperature at different high temperatures of 2 hours treatment was obtained through laboratory treatments at 27℃,30℃,33℃,36℃,39℃ and 42℃,and the relationship between the development of whiteflies and the maximum temperature when the maximum daily temperature was above 30℃.(3)The relationship between the development of whiteflies and the maximum temperature was calculated through experiments for one generation of whiteflies.The growth accumulation required for development,combined with the relationship between high temperature and whitefly development,is used to calculate the growth accumulation for one generation of whiteflies,to calculate warning points,and to calculate when an infestation will occur,taking into account future weather conditions.The innovation of this paper is to provide an early warning of an infestation one generation before it occurs.This can be done by documenting the process from infestation to reaching the infestation criteria,finding the population size of the whitefly population on the yellow board,combining this with the effective temperature accumulation required for one generation of whiteflies,working backwards from the infestation to an early warning point based on the data from the experiment,and then combining this with image recognition to create an early warning system that can be combined with a weather forecast to give a number of days of warning. |
