insect suction device enables fully automated monitoring and reporting of small migratory insects

Equipped with insect suction technology and leveraging aerodynamic suction alongside IoT-based AI, this intelligent monitoring device automatically traps and tracks small migratory insects around the clock, making it suitable for plant protection monitoring and pest data analysis across various sectors.

Centered on insect suction technology, this large-scale plant protection monitoring device is designed for long-term field operations. It primarily monitors the spatiotemporal dynamics of small migratory insect populations and provides precise data for insect ecology research, overcoming the limitations of traditional manual monitoring—such as low efficiency, data lag, and restricted monitoring periods. Standing 8.3 meters tall, the device utilizes a base-mounted fan to generate powerful suction, precisely capturing small pests—such as aphids—that pass by or linger near the tower's summit.

insect suction device features a robust protective design, including a bird-proof and rain-proof cap and a multi-layered mesh system, which effectively prevents large debris, birds, and rainwater from entering the unit, ensuring stable operation in complex outdoor environments. Capable of unattended operation, the device autonomously executes the entire workflow—including luring, killing, and separating insects, photographing samples, draining waste liquid, and collecting specimens—without the need for frequent manual intervention. It automatically captures images of insect samples every 30 minutes and transmits the data to an agricultural cloud server via wireless technology.

The cloud-based system employs intelligent AI recognition algorithms to analyze the uploaded images, automatically identifying pest species, counting populations, and organizing data. Monitoring personnel can access real-time pest data remotely via PC or mobile app to track population dynamics. Additionally, the device simultaneously collects and records local meteorological data; by integrating this with pest data, it enables comprehensive analysis to forecast pest outbreak trends and patterns of spread. This device is suitable for a wide range of applications, including agriculture, forestry, animal husbandry, fruit and vegetable cultivation, the growing of tea and medicinal herbs, landscaping, and plant quarantine. It provides reliable data support for the precise control of pests and diseases and for scientific pest forecasting in modern agriculture.