Tea tree freeze injury assessment method and system based on computer vision

Abstract

The invention discloses a tea tree freeze injury assessment method and system based on computer vision. The evaluation method comprises the following steps: acquiring a tea tree leaf freezing injury image through an RGB camera, preprocessing the image, identifying and grading tea tree freezing injury leaves by adopting a double-layer algorithm, in the first-layer algorithm, performing segmentation and first-time grading on the tea tree freezing injury leaves through a Faster RCNN network, and in the second-layer algorithm, performing second-time grading on the tea tree freezing injury leaves through a Faster RCNN network; and inputting the segmented pictures into a second-layer algorithm SVM for second-time grading, and finally evaluating the overall freezing injury degree of the tea tree according to the obtained grading conditions of the freezing injury leaves of different grades of the tea tree. According to the method, the freezing injury of the tea tree leaves can be identified, the freezing injury degree of the tea tree can be graded, the problems of high subjectivity and long time consumption of manual observation and evaluation of the freezing injury of the tea garden are solved, the model precision is improved, and the improvement of the management efficiency of the tea garden is facilitated.

Description

technical field [0001] The invention belongs to the field of computer vision, and in particular relates to a method and system for assessing freezing damage of tea trees based on computer vision. Background technique [0002] Tea tree (Camellia sinensis L.) is one of the most important economic crops in China, India, Sri Lanka, Kenya and other countries. However, with the continuous change of global climate and the vulnerability of tea trees to low temperature disasters, large areas of tea trees were frozen to death, which greatly reduced the yield and crop distribution in cold regions. Therefore, it is necessary to understand the situation of freezing damage in tea gardens, analyze the causes of freezing damage, and propose preventive measures. Then, disaster recovery is carried out to minimize the loss of tea production. [0003] The freezing process of tea trees is often first manifested on the leaves, and only in extreme cold conditions will the roots be damaged and di...

AI Technical Summary

Problems solved by technology

At present, the identification of the degree of freezing damage in tea gardens mainly relies on manual observation and calculation, which is highly subjective and time-consuming

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