Device and method for detecting diseases and insect pests in plant trunk based on electromagnetic wave imaging

Abstract

The invention provides a plant trunk internal pest and disease detection device based on electromagnetic wave imaging. The plant trunk internal pest and disease detection device comprises a radar chip module and an electromagnetic wave transceiver, the electromagnetic wave emission receiver is used for emitting and receiving electromagnetic waves, and the radar chip module is in bidirectional connection with the electromagnetic wave emission receiver. The radar chip module is used for converting the acquired electromagnetic waves into digital electromagnetic waves and storing the digital electromagnetic waves; the electromagnetic wave emission receiver is in signal connection with a radar antenna; the radar antenna is attached to the periphery of a to-be-measured plant trunk and used for measuring the plant trunk through electromagnetic waves generated by the electromagnetic wave transmitting and receiving device. The radar chip module is further in signal connection with a displayer and an analysis module, the displayer is used for displaying measurement data, and the analysis module is used for analyzing the data and determining information of diseases and pests in the to-be-measured plant trunk. According to the method, the performance of the fruit tree wood can be mastered, and the live fruit trees with defects can be treated and cured in time; and the quality and the yield of fruit trees are improved.

Description

technical field [0001] The invention belongs to the technical field of detection of plant trunk diseases and insect pests, and in particular relates to a device and method for detecting internal diseases and insect pests of plant trunks based on electromagnetic wave imaging. Background technique [0002] In recent years, the use of scientific planting technology has effectively improved my country's agricultural products, and the growth of fruit tree production has accounted for a large proportion of agricultural production. However, many farmers in our country have neglected the control of pests and diseases, resulting in a decline in fruit tree yields and economic losses. During the growth of fruit trees, pests and diseases will have an important impact on them, and even cause the death or disease of fruit trees. Many fruit growers do not know enough about the prevention and control of diseases and insect pests. They usually only realize the seriousness of the problem whe...

AI Technical Summary

Problems solved by technology

Many fruit growers do not know enough about the prevention and control of diseases and insect pests. They usually only realize the seriousness of the problem when they discover fruit tree death, disease and pest infestation. Only the surface diseases and insect pests can be seen, and the threats inside the main trunk of fruit trees are not paid enough attention, which leads to the continuous increase of the number of diseases and insect pests

[0003] However, in the early detection of fruit tree diseases and insect pests, due to the lack of corresponding equipment and technology, researchers mainly used traditional detection methods such as visual inspection, percussion and sound identification, and anatomical observation.

Limited by these detection methods, the detection effect on fruit tree pest defects is not ideal

Whether it is the traditional detection methods such as visual inspection, percussion sound identification method or anatomical observation method, they all have the disadvantages of low accuracy, easy to cause irreversible damage to trees, poor timeliness, etc., and cannot effectively detect the defects of fruit tree diseases and insect pests. At the same time, the efficiency of traditional detection methods is low, and there are many affected factors, so it is not suitable for the detection of large-scale fruit tree diseases and insect pests.

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