Orchard pest and disease damage general investigation system and method based on UAV (unmanned aerial vehicle) remote sensing

Abstract

The invention discloses an orchard pest and disease damage general investigation system and method based on UAV (unmanned aerial vehicle) remote sensing. The method comprises steps as follows: hyperspectral image data and RGB images of fruit tree canopies are collected by a UAV, and the collected hyperspectral image data is corrected; spectral reflectance, crown breadth, blade density and textural features of corresponding band images of the fruit tree canopies are calculated according to the corrected hyperspectral image data; size, shape and color features of fruits on fruit trees, color distribution law of the fruit trees and a three-dimensional view of orchard earth surface are calculated according to the RGB images; the spectral reflectance, the blade density and the textural features of the spectral images of the fruit tree canopies as well as the size and the color features of the fruits are input into a discrimination model, and identification of pest and disease damage of the fruit trees in the orchard is realized. Based on the hyperspectral images and the RGB images with more abundant information, the demand of high-frequency regular monitoring for insect situation information of the orchard can be met, and the general investigation efficiency of the pest and disease damage of the orchard is improved.

Description

technical field [0001] The invention relates to the field of modern agriculture, in particular to a system and method for general survey of orchard diseases and insect pests based on drone remote sensing. Background technique [0002] Pests and diseases cause yield reduction of fruit trees and cause economic losses. Timely and effective monitoring of orchard moisture and providing early warning is beneficial to control the development of orchard pests and diseases, minimize economic losses and improve economic benefits. At present, the method of manual census is mainly used to find the pests and diseases in the orchard. Manual census is labor-intensive and costly, and the census efficiency is low. [0003] The Chinese invention patent document with the publication number CN104035412A discloses a UAV-based farmland crop disease and pest monitoring system, including a UAV and a ground station. The equipment carried by the UAV includes a control module and a GPS positioning m...

AI Technical Summary

Problems solved by technology

[0005] The above methods only obtain multispectral information of farmland crops, the amount of information that can be expressed by multispectral images is limited, and there is no research on orchard diseases and insect pests with more complex terrains.

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