Abstract
The identification and extraction of tea buds is the key technology for the development of automated tea picking robots. Machine vision technology is an effective tool for tea bud recognition. In this paper, the tea tree leaves in the tea garden picking period are taken as research objects, and the research experiments are carried out from the aspects of tea image collection, image enhancement, image segmentation, edge detection, binarization and foreground extraction. After continuous exploration and research, the HSI color model is finally selected. After the S factor was used to grayscale the tea image, the improved K-means algorithm was used to identify and separate the tea shoots. The experimental results show that the improved K-means algorithm has a good effect on the segmentation of young leaves in tea images. This study can provide reference and reference for tea bud recognition algorithm.
Highlights
China is a big tea producing country, and the labor force used for tea picking accounts for more than one-second of the total labor force in the whole process of tea production
There is no selectivity for tea leaves, and the integrity of tea buds cannot be guaranteed, and the picking standards of famous teas cannot be achieved
The difficulty of tea bud recognition is that the color and morphological contrast of the bud and the old leaf are not large, so it is necessary to enhance the original image to improve the quality and recognition of the image, so that the image is more conducive to observation and further image processing
Summary
China is a big tea producing country, and the labor force used for tea picking accounts for more than one-second of the total labor force in the whole process of tea production. There are a large number of tea picking equipments in the market, most of these equipments are based on traditional mechanical mechanisms. The picking of famous tea has strong timeliness, that is, the famous tea should be picked at a specific time period. With the increasing proportion of industrial economy in the gross national product, the labor force in the tea industry is in short supply. During the tea picking period, improving the efficiency of picking famous tea can bring huge economic benefits. The research of intelligent automatic tea picking robots is important. The application of intelligent automatic tea picking robot to tea picking can reduce the cost of tea production, reduce the damage rate of tea picking, and improve the efficiency of tea picking and solve the problem of shortage of famous and excellent tea picking labor
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
