|
|
|
|
|
Chenglin Wang, Qiyu Han, Jianian Li, Chunjiang Li and Xiangjun Zou
Blueberry is among the fruits with high economic gains for orchard farmers. Identification of blueberry fruits with different maturities has economic significance to help orchard farmers plan pesticide application, estimate yield, and conduct harvest ope...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yingdong Ye, Rong Zhen, Zheping Shao, Jiacai Pan and Yubing Lin
The intelligent perception ability of the close-range navigation environment is the basis of autonomous decision-making and control of unmanned ships. In order to realize real-time perception of the close-range environment of unmanned ships, an enhanced ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Dexiao Kong, Jiayi Wang, Qinghui Zhang, Junqiu Li and Jian Rong
Automated fruit-picking equipment has the potential to significantly enhance the efficiency of picking. Accurate detection and localization of fruits are particularly crucial in this regard. However, current methods rely on expensive tools such as depth ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zejin Sun, Hui Yang, Zhifu Zhang, Junxiao Liu and Xirui Zhang
The object detection algorithm is one of the core technologies of the intelligent rubber tapping robot, but most of the existing detection algorithms cannot effectively meet the tapping trajectory detection of natural rubber trees in the complex forest e...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xiaoyu Wang, Hengyou Wang, Changlun Zhang, Qiang He and Lianzhi Huo
Object detection plays an important role in safety monitoring, quality control, and productivity management at construction sites. Currently, the dominant method for detection is deep neural networks (DNNs), and the state-of-the-art object detectors rely...
ver más
|
|
|
|
|
|