Computer vision technologies have attracted significant interest in precision agriculture in
recent years. At the core of robotics and artificial intelligence, computer vision enables …

Fruit detection and localization are essential for future agronomic management of fruit crops
such as yield prediction, yield mapping and automated harvesting. However, to perform …

The apple target recognition algorithm is one of the core technologies of the apple picking
robot. However, most of the existing apple detection algorithms cannot distinguish between …

Deep learning achieved high success of fruit-on-plant detection such as on apple. Most of
studies on apple detection identified all target fruits as one class regardless of fruit condition …

Accurate count of fruits is important for producers to make adequate decisions in production
management. Although some algorithms based on machine vision have been developed to …

Apples in modern orchards with vertical-fruiting-wall trees are comparatively easier to
harvest and specifically suitable for robotic picking, where accurate apple detection and …

Plant phenomics is a new avenue for linking plant genomics and environmental studies,
thereby improving plant breeding and management. Remote sensing techniques have …

The development of remote fruit detection systems able to identify and 3D locate fruits
provides opportunities to improve the efficiency of agriculture management. Most of the …

The segmentation and classification of leaves in plant images are a great challenge,
especially when several leaves are overlapping in images with a complicated background …

This article reviews the research and development progress of mechanical harvest
technologies for fresh market apples over the past decades with a focus on the predominant …