Computer vision is a field that involves making a machine “see”. This technology uses a
camera and computer instead of the human eye to identify, track and measure targets for …

Orchard pre-harvest yield data is important for fruit growers, which can be used for economic
benefit evaluation, management mode adjustment and so on. However, traditional manual …

The number of objects is considered an important factor in a variety of tasks in the
agricultural domain. Automated counting can improve farmers' decisions regarding yield …

Hyperspectral imaging has been extensively investigated as an emerging, promising
technique for measuring the quality and protection of horticultural and agricultural products …

Highlights•Designed an end-to-end vision system for a mango picking robot.•Instance
segmentation and pick point detection are performed simultaneously.•It is robust to various …

This paper presents a comprehensive review of ground agricultural robotic systems and
applications with special focus on harvesting that span research and commercial products …

Yield monitoring systems in fruit production mostly rely on color features, making the
discrimination of fruits challenging due to varying light conditions. The implementation of …

Phenotypic information is of great significance for irrigation management, disease
prevention and yield improvement. Interest in the evaluation of phenotypes has grown with …

In this paper, we present a high-accuracy model for blueberry yield prediction, trained using
structurally innovative data sets. Blueberries are blooming plants, valued for their antioxidant …

Crop growth and yield monitoring are essential for food security and agricultural economic
return prediction. Remote sensing is an efficient technique for measuring growing season …