Broad spectrum insect situation automatic forecasting method based on computer vision technology

Abstract

The invention discloses a broad spectrum insect situation automatic forecasting method based on the computer vision technology. According to the method, insect images of captured target insects are obtained at regular time; an obtained current insect image and a yesterday insect image are subjected to filtering treatment so as to obtain a current insect profile diagram and a yesterday insect profile diagram; the current insect profile diagram and the yesterday insect profile diagram are subjected to subtraction treatment so as to obtain an increment diagram; an insect characteristic spectrum is established and updated as per the increment diagram; the increment count value of insect quantity of this time is computed as per the increment diagram; the area count value of insect quantity is computed as per the insect characteristic spectrum; and further, the weighted average of the increment count value of insect quantity of this time and the area count value of insect quantity is obtained, and then the total amount of insects can be obtained through calculation. The broad spectrum insect situation automatic forecasting method combines machine vision, pattern recognition and biological chemistry methods, automatically forecasts the injurious insects as needed, obtains the population density of the injurious insects in the field, and provides scientific decision bases for early warning and comprehensive control of insect damage.

Description

technical field [0001] The invention relates to the technical field of computer vision, in particular to an automatic detection and reporting method for broad-spectrum insect infestation based on computer vision technology. Background technique [0002] In recent years, the concept of food safety and environmental protection has been deeply rooted in the hearts of the people. The single species leads to the proliferation of insect pests, which often leads to agricultural production reduction, or overcorrection and excessive application of pesticides, or even a combination of both. Accurate pest monitoring is the basis and premise of scientific pest control. Research on an efficient, broad-spectrum, and automatic method of pest monitoring is of great significance to agricultural safety and environmental protection. [0003] The traditional method often uses insect situation forecasting lights, and uses the phototaxis of insects to trap and kill insects for counting, but there...

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Problems solved by technology

[0010] In view of the above-mentioned defects, the technical problem to be solved by the present invention is to solve the problems in the prior art of inaccurate reporting results of insects, single species of insects, and complicated and huge structure of the reporting device.

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