Method and system for calculating number of wheat grains based on image identification

Abstract

The invention discloses a method for calculating the number of wheat grains based on image identification. The method comprises the following steps: S1, obtaining a wheat field image, and carrying out grey processing on the wheat field image; S2, capturing wheat grain images according to the wheat field image, and vertically arranging the wheat grain images, wherein each wheat grain image only contains one wheat grain; S3, setting an experience threshold; S4, calculating the texture features of the wheat grain images, and splitting the wheat grain images according to the experience threshold so as to obtain split images, wherein the wheat grains and the background are displayed in a distinguishing manner in the split images; and S5, counting the number of the wheat grains according to the split images. According to the method, wheat grain images are captured from the images obtained in real time, and the number of the wheat grains is automatically calculated, so that a quicker and more intelligent method is provided for estimating the wheat yield, the wheat yield is estimated more accurately, and the wheat growth situation is known more clearly.

Description

technical field [0001] The invention relates to the technical field of intelligent agriculture, in particular to a method and system for calculating the number of grains in ears of wheat based on image recognition. Background technique [0002] With the rapid development of agricultural Internet of Things technology, agricultural Internet of Things breeding technology has received extensive attention as an important development direction, which has affected the development of the national economy and the normal life of the people. Wheat is one of the most critical crops in breeding technology, so the yield of wheat is very important as an important technical index to measure the quality of wheat varieties. [0003] The image processing method, as an automatic and fast processing method, has been applied in a wide range of fields. The agricultural Internet of Things needs to monitor the data of the cultivated fields in real time, so the image processing method must be the m...

AI Technical Summary

Problems solved by technology

[0004] However, the conventional practice is limited to monitoring and fails to make better use of the acquired image data. This paper adopts image processing technology to propose an intelligent method for calculating the number of grains in ears, in order to use it in the estimation of wheat yield.

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