Aiming to reduce the labour cost and improve the competitiveness of the tea production, this
paper presents a complete solution, including the mechanical structure, the visual …

Tea shoot detection and localization are highly challenging tasks because of varying
illumination, inevitable occlusion, tiny targets, and dense growth. To achieve the automatic …

Tea (Camellia sinensis) is one of the most commonly consumed beverages worldwide. Tea
leaves are plucked by hand or using a machine. Hand plucking prevents broken leaves and …

The accurate identification, detection, and segmentation of tea buds and leaves are
important factors for realizing intelligent tea picking. A tea picking point location method …

Tea is one of the most common beverages in the world. In order to reduce the cost of
artificial tea picking and improve the competitiveness of tea production, this paper proposes …

To overcome the low recognition accuracy, slow speed, and difficulty in locating the picking
points of tea buds, this paper is concerned with the development of a deep learning method …

The rising global population, in conjunction with the increasing demand, decreasing labor
supply, and increasing costs in the agricultural sector, has induced a need for automation in …

This letter proposes a harvesting robot capable of plucking tea leaves. In order to harvest
high-quality tea, the robot is required to pluck the petiole of the leaf without cutting it using …

Accurately obtaining the posture and spatial position of tea buds through machine vision
and other technologies is difficult due to the small size, different shapes, and complex …

Tea is one of the most common beverages in the world. Automated machinery that is
suitable for plucking high-quality green tea is necessary for tea plantations and the …