Defect detection is the most important step in the postpartum reprocessing of kiwifruit.
However, there are some small defects difficult to detect. The accuracy and speed of existing …

Abstract In New Zealand (NZ), agriculture is an essential industry, Kiwifruits contribute
significantly to the country's overall exports. Traditionally Kiwifruits require manually picking …

With the development of deep learning theory, the application of Yolov3 in fruit detection has
been widely studied. Aiming at the problem that Yolov3 loses information during network …

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 …

The identification of immature apples is a key technical link to realize automatic real-time
monitoring of orchards, expert decision-making, and realization of orchard output prediction …

Abstract" Digital" agriculture is rapidly affecting the value of agricultural output. Robotic
picking of the ripe agricultural product enables accurate and rapid picking, making …

The development of intelligent manufacturing often focuses on production flexibility,
customization and quality control, which are crucial for chip manufacturing. Specifically …

The accurate detection of young fruits in complex scenes is of great significance for
automatic fruit growth monitoring systems. The images obtained in the open orchard contain …

Highlights•A YOLOv5 method of citrus epidermis defects detection was proposed.•Automatic
and rapid detection of invisible defects in citrus epidermis was realised.•The optimisation of …

The detection of banana fruits is an important part of intelligent management in the banana
plantation. To detect the banana fruit quickly and accurately in the complex orchard …