Design of Intelligent Monitoring and Early Warning System for Agarwood Pests and Diseases Based on AI Algorithm

Abstract

Agarwood is a kind of precious Chinese medicinal materials and spices, which has both medicinal and cultural and economic value.
With large-scale artificial planting of agarwood in Dianbai District of Maoming and other areas, the problem of disease and insect pests has
become increasingly serious, which has affected the industrial development. The problem of disease and insect pest control of Agarwood has
become a prominent problem affecting the planting and industrial development of Agarwood. The traditional disease and insect control of
Agarwood relies on artificial monitoring of disease and insect pests with low efficiency and lagging prevention and control. This paper uses
AI visual recognition technology, Internet of Things technology and other technologies to study the disease and insect situation detection technology of intelligent insect situation ground monitoring station, and uses Internet of Things technology to send information to the intelligent
analysis and early warning cloud platform of insect situation, analyze and predict the disease and insect situation, and push early warning information to farmers. The insect identification accuracy rate reaches 92%, so as to achieve early detection and early control of insect situation.
It reduces the labor cost and the use of chemicals, and promotes the green and healthy development of agarwood planting industry.