Hierarchical structure-based two-stage forestry pest identification and detection system and method

Abstract

The invention discloses a hierarchical structure-based two-stage forestry pest identification and detection system, and the system comprises: a data preprocessing module which is used for preprocessing a labeled forestry pest image data set, and obtaining a first data set for training a target detection model in a pest detection stage and a second data set for training a classification model in a pest classification stage; the model training module that is used for training a target detection model in a pest detection stage by utilizing the first data set and training a classification model in a pest classification stage by utilizing the second data set; and the image prediction module that is used for performing target detection on the test image by using the trained target detection model, extracting the insect part from the test image to obtain a new image, and performing species classification on the new image by using the trained classification model. The hierarchical structure -based two-stage forestry pest identification and detection system is high in feasibility, can greatly improve the recognition accuracy of pests, and has expansibility.

Description

technical field [0001] The invention relates to the technical field of forestry pest identification and detection, in particular to a two-stage forestry pest identification and detection system and method based on a hierarchical structure. Background technique [0002] Forestry pest disasters are like non-smoking forest fires, which are characterized by persistence and concealment. They are usually ignored by people and will bring huge economic losses to the development of forestry. At the same time, with the economic development of various regions and the vigorous implementation of afforestation projects, the introduction of forestry materials and their products has continued to increase, and the exchanges between regions have gradually become more frequent. However, the spread and spread of forestry pests have gradually accelerated, and the harm It has become increasingly serious and has become the enemy of current forestry development. [0003] The identification and det...

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Problems solved by technology

[0004] Although the forestry pest recognition system has been extensively researched and achieved good application results, it usually has a low recognition accuracy rate due to the relatively large background part of the recognized image, and it is difficult to accurately recognize the situation of multiple pests in a picture , and with the increase of insect categories, the recognition accuracy will drop significantly

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