Method for detecting growth state of branches of crown canopy of cherry tree

Abstract

The invention discloses a method for detecting growth state of branches of crown canopy of a cherry tree. The method comprises the following steps: (1) respectively collecting near infrared images of crown canopy branch samples from a plurality of cherry trees with different growth states; (2) carrying out fast Fourier transform on the near infrared images to obtain a two-dimensional spatial frequency spectrum of the near infrared images, dividing the two-dimensional spatial frequency spectrum into 10-25 rings with equal area, and calculating out a frequency spectrum value of each ring; (3) traversing all crown canopy branch samples of the cherry trees to obtain frequency spectrum values respectively corresponding to each crown canopy branch sample of the cherry trees, and establishing a model by using the frequency spectrum values as input and growth states of corresponding crown canopy branch samples of the cherry trees as output; and (4) acquiring a frequency spectrum value corresponding to crown canopy branches of a cherry tree to be tested, and substituting the frequency spectrum value into the model to obtain the growth state of the crown canopy branches of the cherry tree to be tested. The invention can realize rapid and accurate detection on the growth state of crown canopy branches of cherry trees.

Description

technical field [0001] The invention belongs to the field of detection methods for the growth state of fruit trees, in particular to a detection method for the growth state of branches in the canopy of cherry trees. Background technique [0002] The growth of crops is inseparable from the influence of photosynthesis. The structure of crop canopy affects the interception of light by crops and the distribution of light in the orchard, so it directly affects the yield of fruits. The yield per unit area of ​​fruit has been proved to be positively correlated with the interception of light by crops. Light interception and uneven light distribution will reduce the size of fruit and reduce the yield and quality of fruit. Methods to increase light interception include high-density planting, maintaining a suitable size and shape of the canopy structure, and increasing the leaf area index. Among them, the reasonable optimization of the crop canopy structure has become an important tech...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a method for detecting the growth state of branches in the canopy of cherry trees based on multispectral imaging technology, which solves the problem that the detection process of the branches in the canopy of cherry trees has large errors and is greatly affected by the shape of leaves, canopy and varieties. question

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