Accurate and timely information on the number of densely-planted Chinese fir seedlings is
essential for their scientific cultivation and intelligent management. However, in the later …

Tea plants are one of the most widely planted agricultural crops in the world. The traditional
method of surveying germination density is mainly manual checking, which is time …

Aiming at the difficulty in locating the picking points of table grapes in the natural
environment, this paper proposed a Yolov5-CBAM-Fourth Detection Layer-Decoupled …

Accurate discrimination of apple inflorescence morphology and phenology spatial
information distribution of orchard are beneficial to guide chemical spraying of target …

In order to solve the problem of low recognition accuracy of cucumber canopy vine tops
image caused by the high density and intermingling of the cucumber canopy vine, an image …

Introduction In order to solve the problem of precise identification and counting of tea pests,
this study has proposed a novel tea pest identification method based on improved YOLOv7 …

The detection and counting of fruit tree canopies are important for orchard management,
yield estimation, and phenotypic analysis. Previous research has shown that most fruit tree …

Due to the dense distribution of tomato fruit with similar morphologies and colors, it is difficult
to recognize the maturity stages when the tomato fruit is harvested. In this study, a tomato …

Currently, the accuracy of tea bud identification is crucial in the intelligent development of
the tea industry, and this is due to the fact that identifying tea buds is a key step in …

To address the problems of low recognition accuracy and slow processing speed when
identifying harvest-stage cabbage heads in complex environments, this study proposes a …