The demand for intelligent agriculture is increasing due to the continuous impact of world
food and environmental crises. Focusing on fruit detection, with the rapid development of …

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

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 …

Real-time detection of agricultural growth stages is one of the key steps of estimating yield
and intelligent spraying in commercial orchards. However, due to considerable degree of …

It is important to precisely segment apples in an orchard during the growth period to obtain
accurate growth information. However, the complex environmental factors and growth …

Plant phenotyping has been recognized as a bottleneck for improving the efficiency of
breeding programs, understanding plant-environment interactions, and managing …

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 …

Automatic detection of kiwifruit in the orchard is challenging because illumination varies
through the day and night and because of color similarity between kiwifruit and the complex …

Deep learning is known as a promising multifunctional tool for processing images and other
big data. By assimilating large amounts of heterogeneous data, deep-learning technology …

In the last few years, the use of artificial intelligence and technological advances such as
deep learning, new 3D-capable sensors, and edge computing embedded systems have …