Deep learning-based visual object detection is a fundamental aspect of computer vision.
These models not only locate and classify multiple objects within an image, but they also …

Fruit tree-specific management plays a vital role in ensuring fruit quality and quantity.
Monitoring inflorescence information is essential for apple tree cultivation activity such as …

Monitoring the number of cotton flowers can provide important information for breeders to
assess the flowering time and the productivity of genotypes because flowering marks the …

Advancements in technology hold significant promise for the future of smart agriculture.
Drones, serving as innovative tools for data acquisition, play a pivotal role in this context …

Automatic fruit blossom detection plays a crucial role in agricultural intelligence to predict
fruit yield. Existing deep learning methods for vision-based fruit blossom detection …

Manual pollination of kiwifruit flowers is a labor-intensive work that is highly desired to be
replaced by mechanical/robotic operations. In this application note, a pollination robot was …

To address the issue of accurately recognizing and locating picking points for tea-picking
robots in unstructured environments, a visual positioning method based on RGB-D …

Autonomous pollination robots have received significant attention in recent years. It is
expected that these robots will assist farmers in pollinating plants effectively. Despite …

The positional and orientational detection of kiwifruit flower clusters in the natural
environment is essential for the development of automated mechanical pollination systems …

Accurate road extraction and recognition of roadside fruit in complex orchard environments
are essential prerequisites for robotic fruit picking and walking behavioral decisions. In this …