Method and device for early detecting crop pests based on multisensor information fusion

Abstract

The invention relates to the technical field of plant protection, and discloses a method and device for early detecting crop pests based on multisensor information fusion. The method disclosed by the invention is used for detecting a crop pest condition through a model building stage, an information collecting stage, a characteristic quantity drawing stage and an information fusion and detection distinguishing stage. By using the method and the device, the shortage of purely depending on a single machine checking and monitoring method is overcome, relevant information of specific pests can beobtained from multiple aspects, multiple kinds of information can be fused for intelligent detection; and multiple kinds of information are subjected to demonstration check for mutual compensation byusing complementarity and redundancy of the information, and further the detecting and monitoring accuracy and efficiency of a field crop pest robot are improved.

Description

technical field [0001] The invention relates to plant protection technology, in particular to a multi-sensor information fusion early detection method and device for crop diseases and insect pests. Background technique [0002] The occurrence and damage of pests and diseases in grain production are very frequent and serious. According to Metcalf, in the process of spraying pesticides by conventional methods, only 25% to 50% of the pesticides sprayed from the spraying equipment can be deposited on the leaves of the crops, and less than 1% of the pesticides can be deposited on the target pests. 0.03% of the pesticide can play an insecticidal role, and the remaining 50% to 75% of the pesticide is lost in the form of volatilization and drift. Blind application of pesticides and outdated spraying equipment are the main reasons for the low utilization rate of pesticides, which not only cause huge economic losses, but also cause serious pollution of water and soil resources, ecolo...

AI Technical Summary

Problems solved by technology

In order to overcome the shortcomings of traditional manual detection methods, people have carried out research on machine detection and monitoring technology of pests and diseases. , Acoustic feature detection method and radar observation method (for pests) have made some progress, but the existing technology is basically a single method for detection and monitoring of pests and diseases, and the detection effect for field pests and diseases is still not ideal

The main difficulties in machine detection and monitoring of pests and diseases in the field are: the field conditions are complex and changeable, there are many interference factors, and the leaves block each other, which increases the difficulty of identification; the location of the pests and diseases is uncertain, and the branches and leaves are uneven. Damage occurs on the back of the leaves or at the roots, and some diseases and insect pests are hidden in the leaf sheaths or crop stems. It is indeed difficult to rely solely on a single machine detection and monitoring method

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