# The Application Status and Trends of Machine Vision in Tea Production
)1 Modern Agricultural Equipment Research Institute, Xihua University, Chengdu 610039, China; [EMAIL_ADDRESS] (Z.Y. ); [EMAIL_ADDRESS] (K.P. )1 Modern Agricultural Equipment Research Institute, Xihua University, Chengdu 610039, China; [EMAIL_ADDRESS] (Z.Y. ); [EMAIL_ADDRESS] (K.P. )1 Modern Agricultural Equipment Research Institute, Xihua University, Chengdu 610039, China; [EMAIL_ADDRESS] (Z.Y. ); [EMAIL_ADDRESS] (K.P. )1 Modern Agricultural Equipment Research Institute, Xihua University, Chengdu 610039, China; [EMAIL_ADDRESS] (Z.Y. ); [EMAIL_ADDRESS] (K.P. )1 Modern Agricultural Equipment Research Institute, Xihua University, Chengdu 610039, China; [EMAIL_ADDRESS] (Z.Y. ); [EMAIL_ADDRESS] (K.P. )1 Modern Agricultural Equipment Research Institute, Xihua University, Chengdu 610039, China; [EMAIL_ADDRESS] (Z.Y. ); [EMAIL_ADDRESS] (K.P. )1 Modern Agricultural Equipment Research Institute, Xihua University, Chengdu 610039, China; [EMAIL_ADDRESS] (Z.Y. ); [EMAIL_ADDRESS] (K.P. )1 Modern Agricultural Equipment Research Institute, Xihua University, Chengdu 610039, China; [EMAIL_ADDRESS] (Z.Y. ); [EMAIL_ADDRESS] (K.P. )1 Modern Agricultural Equipment Research Institute, Xihua University, Chengdu 610039, China; [EMAIL_ADDRESS] (Z.Y. ); [EMAIL_ADDRESS] (K.P. )1 Modern Agricultural Equipment Research Institute, Xihua University, Chengdu 610039, China; [EMAIL_ADDRESS] (Z.Y. ); [EMAIL_ADDRESS] (K.P. )1 Modern Agricultural Equipment Research Institute, Xihua University, Chengdu 610039, China; [EMAIL_ADDRESS] (Z.Y. ); [EMAIL_ADDRESS] (K.P. )1 Modern Agricultural Equipment Research Institute, Xihua University, Chengdu 610039, China; [EMAIL_ADDRESS] (Z.Y. ); [EMAIL_ADDRESS] (K.P. )1 Modern Agricultural Equipment Research Institute, Xihua University, Chengdu 610039, China; [EMAIL_ADDRESS] (Z.Y. ); [EMAIL_ADDRESS] (K.P. )1 Modern Agricultural Equipment Research Institute, Xihua University, Chengdu 610039, China; [EMAIL_ADDRESS] (Z.Y. ); [EMAIL_ADDRESS] (K.P. )1 Modern Agricultural Equipment Research Institute, Xihua University, Chengdu 610039, China; [EMAIL_ADDRESS] (Z.Y. ); [EMAIL_ADDRESS] (K.P. )1 Modern Agricultural Equipment Research Institute, Xihua University, Chengdu 610039, China; [EMAIL_ADDRESS] (K.P. )1 Modern Agricultural Equipment Research Institute, Xihua University, Chengdu 610039, China; yangzhiming@stux. demands for plantability and quality. Tea is a high-value-added cash crop, which requires careful management of its production. Therefore, building standardized tea gardens is the main trend of modern agricultural developments. Traditional field management and postproduction processing of tea are labor-intensive industries with an insufficient labor force [9] and a limited harvesting window. Adopting intelligent means to achieve accurate and efficient production is therefore urgent. Machine vision has been widely applied in tea production in recent years, covering almost all production processes including disease and pest monitoring, identification and picking, yield estimation, and quality grading of tea. Machine vision is based on computer vision and consists of hardware and software systems. Machine vision relies on RGB (red, green, blue) and multispectral cameras, among others, to capture images of tea gardens and extract key information based on the obtained images, providing a basis for subsequent decision making. It can extract information from images by simulating human vision, and then analyze it to guide actual production [10]; the machine vision system is shown in Figure 1.  
Machine vision systems generally include three parts: image acquisition, data processing, and deployment and execution [11]. Image acquisition is generally divided into lighting systems, imaging systems, and other equipment, mainly relying on optical components to capture images and transmit them to the next section. The data processing part extracts and analyzes information from images, makes decisions based on learning results, and finally deploys the system to control and execute operations on the equipment.