Stored-grain pest sound detection identification system

Abstract

The invention discloses a stored-grain pest sound detection identification system, including a first sound collection module, a sound pretreatment module, a sound processing module, a retrieval contrast module, a drawing module, a regression calculating module, a prediction analysis module and a database. The database is connected with a second sound collection module, an image collection module, a man-machine operation module, a data processing module and a correlation establishing module. The invention completes pest detection through identifying insect sounds, achieves real-time, accurate and lossless automatic detection of pests in stored grain, and can predict the multiplying condition of pests, thereby facilitating pest treatment measure making and reducing economic loss caused by delayed discovery and delayed treatment.

Description

technical field [0001] The invention relates to the field of stored grain pest detection, in particular to an acoustic detection and recognition system for stored grain pests. Background technique [0002] Food is the basic material condition for human survival and development, and food security is closely related to human survival, national security and social development. However, the growth and reproduction of warehouse insects can cause huge losses in seed storage. According to the survey data of the United Nations Food and Agriculture Organization, the annual loss of moldy grains in the world is 3%, and the loss of insect damage is 10%. More than 200 million people eat it a year. In addition, when warehouse insects carry out harmful activities in the warehouse, the temperature and moisture of the seeds will increase, which seriously threatens the safety of seed storage. Therefore, it is very important to do a good job of pest protection in the granary. [0003] There ...

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Problems solved by technology

[0003] There are endless detection methods for stored grain pests at home and abroad. The traditional detection methods are cumbersome to operate, poor in accuracy, and destructive; the current newer methods are not very good for the situation where the degree of infestation is relatively low.

At the same time, the current detection methods all need to move the grain, which is time-consuming and labor-intensive. In view of the above reasons, a detection system that can quickly, accurately, and non-destructively detect internal pests in stored grains is needed at the early stage of pest infestation to guide storage. The modern storage management of grain can reduce the economic loss caused by failure to detect and process in time

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