Fumigation is the most reliable method for pest control in a confined space. However, all current fumigants available are either highly toxic to mammalsharmful to the atmosphere. We provide a new technology, including novel fumigantsa rapid evaporating device. With its wide effectiveness to various insects, low toxicity to mammals, friendly to the environment, etc., our technology may attract users in custom quarantine, warehousing, home pest control, etc. We provide a novel fumigation technology that potentially satisfies the global demand of new fumigants.

This study built an automatic insect pest image identification system based on tiny Yolov3 deep learning model. By optimizing the tiny Yolov3 detection model, images of insect pests on scanned sticky paper can be automatically identified. The system achieves a testing accuracy of 0.93, 0.90 for whitefliesthrips respectively.