Method for automatically monitoring and reporting insect condition of rice planthopper

Abstract

The invention discloses a method for automatically monitoring and reporting the insect condition of rice planthopper. The method comprises the following steps: (1) designing a wild insect automatic photographing device to acquire digital insect images of the rice planthopper in a natural state and with a white background; (2) segmenting the images to obtain the image of the back region of the insect body with integral information; (3) transforming the image of the back region of the insect body into the frequency domain by means of Flourier transformation to obtain a Flourier spectrum reflecting the color and texture features of the insect back, and extracting the two-dimensional Flourier spectrum window data to describe the features of the insect; and (4) constructing an insect classifier to respectively classify Sogatella furcifera, Nilaparvata lugens and Laodelphax striatellus into a first type, a second type and a third type, and the other insects into a fourth type, and counting the Sogatella furcifera, the Nilaparvata lugens and the Laodelphax striatellus. By utilizing the method, the population density of the rice planthopper can be substantially reflected, thereby guiding the production and experience, and improving the technical level for automatic insect monitoring and reporting in the agricultural industry.

Description

Automatic forecasting method of rice planthopper pest situation Technical field The invention relates to an automatic forecasting method for rice planthopper insect situation, belonging to the technical field of computer data processing. Background technique Rice planthopper is the main pest of rice. It grows and reproduces quickly, and the damage is great, which can easily cause serious reduction in rice production. Therefore, accurate monitoring and forecasting of pests and diseases is the basis and prerequisite for scientific prevention and control of pests. It is of great significance to study a real-time, high-efficiency and automatic method of pest forecasting to achieve the goal of harmonizing pest control and ecological environment protection. Real-time detection of pests is a means of comprehensive prevention and control. Only accurate detection can achieve purposeful prevention and control. The population of pests can be controlled below the level of economic damage....

AI Technical Summary

Problems solved by technology

Rice planthopper is the main pest of rice. It grows and reproduces quickly, and the

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