Significant advances in the field of digital image processing have been achieved in recent
years using deep learning, which has significantly exceeded previous methods. Deep …

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 …

Plant phenotyping is the study of complex plant traits to evaluate its status depending on the
life-cycle conditions. Often, these evaluations are carried out by human operators, and the …

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 …

For the operation and visual positioning of a banana robot, it is important to accurately
position the rachis and cut off point. However, the main factors that affect the three …

Smart agricultural harvesting robots' vision recognition, control decision, and mechanical
hand modules all resemble the human eye, brain, and hand, respectively. To enable …

Accurate detection of both immature and mature apples in orchard environments is essential
for early crop load management. A near real-time method is proposed in this study for …

In this paper, a deep reinforcement learning-based path planning method for kiwifruit picking
robot coverage is proposed. Compared with existing approaches, the novelty of this paper is …

In a densely planted orchard, factors such as light variation, branch occlusion, and fruit in
non-picking rows had a great impact on the pitaya detection accuracy. In this study, a new …

Asynchrony of kiwifruit flowering time results in different flower phenological stages in
canopy at the same time. Pollination quality of flowers is influenced by their phenological …