|
|
|
|
|
Yanmin Lei, Dong Pan, Zhibin Feng and Junru Qian
With the development of deep learning technology, more and more researchers are interested in ear recognition. Human ear recognition is a biometric identification technology based on human ear feature information and it is often used for authentication a...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xingdong Sun, Yukai Zheng, Delin Wu and Yuhang Sui
The key technology of automated apple harvesting is detecting apples quickly and accurately. The traditional detection methods of apple detection are often slow and inaccurate in unstructured orchards. Therefore, this article proposes an improved YOLOv5s...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jizhong Deng, Chang Yang, Kanghua Huang, Luocheng Lei, Jiahang Ye, Wen Zeng, Jianling Zhang, Yubin Lan and Yali Zhang
The realization that mobile phones can detect rice diseases and insect pests not only solves the problems of low efficiency and poor accuracy from manually detection and reporting, but it also helps farmers detect and control them in the field in a timel...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wenhao Wang, Yun Shi, Wanfu Liu and Zijin Che
Rising labor costs and a workforce shortage have impeded the development and economic benefits of the global grape industry. Research and development of intelligent grape harvesting technologies is desperately needed. Therefore, rapid and accurate identi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yu Zhang, Jiajun Niu, Zezhong Huang, Chunlei Pan, Yueju Xue and Fengxiao Tan
An algorithm model based on computer vision is one of the critical technologies that are imperative for agriculture and forestry planting. In this paper, a vision algorithm model based on StyleGAN and improved YOLOv5s is proposed to detect sandalwood tre...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hailiang Gong, Xi Wang and Weidong Zhuang
This study focuses on real-time detection of maize crop rows using deep learning technology to meet the needs of autonomous navigation for weed removal during the maize seedling stage. Crop row recognition is affected by natural factors such as soil expo...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yongjiu Zou, Jinqiu Zhang, Taili Du, Xingjia Jiang, Hao Wang, Peng Zhang, Yuewen Zhang and Peiting Sun
According to statistics, about 70% of ship fire accidents occur in the engine room, due to the complex internal structure and various combustible materials. Once a fire occurs, it is difficult to extinguish and significantly impacts the crew?s life and p...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chenglong Hou, Zhiguang Guan, Ziyi Guo, Siqi Zhou and Mingxing Lin
At present, sea cucumbers, sea urchins, and other seafood products have become increasingly significant in the seafood aquaculture industry. In traditional fishing operations, divers go underwater for fishing, and the complex underwater environment can c...
ver más
|
|
|
|
|
|
|
|
|
|
|
Efrem Yohannes Obsie, Hongchun Qu, Yong-Jiang Zhang, Seanna Annis and Francis Drummond
Early detection and accurately rating the level of plant diseases plays an important role in protecting crop quality and yield. The traditional method of mummy berry disease (causal agent: Monilinia vaccinii-corymbosi) identification is mainly based on f...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lei Shi, Jiayue Sun, Yuanbo Dang, Shaoqi Zhang, Xiaoyun Sun, Lei Xi and Jian Wang
Utilizing image data for yield estimation is a key topic in modern agriculture. This paper addresses the difficulty of counting wheat spikelets using images, to improve yield estimation in wheat fields. A wheat spikelet image dataset was constructed with...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yanyi Chen, Xuhong Huang, Cunxin Zhu, Shengping Tang, Nan Zhao and Weihao Xiao
The appearance and meat quality of Penaeus vannamei are important indexes in the production process, and the quality of the product will be reduced if the defective shrimp is mixed in during processing. In order to solve this problem, a quality detection...
ver más
|
|
|
|
|
|
|
|
|
|
|
Huaiwen Wang, Jianguo Feng and Honghuan Yin
Images captured using unmanned aerial vehicles (UAVs) often exhibit dense target distribution and indistinct features, which leads to the issues of missed detection and false detection in target detection tasks. To address these problems, an improved met...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lixue Zhu, Zhihao Zhang, Guichao Lin, Pinlan Chen, Xiaomin Li and Shiang Zhang
Currently, the detection and localization of tea buds within the unstructured tea plantation environment are greatly challenged due to their small size, significant morphological and growth height variations, and dense spatial distribution. To solve this...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jie Zhao, Xiaobo Xi, Yangjie Shi, Baofeng Zhang, Jiwei Qu, Yifu Zhang, Zhengbo Zhu and Ruihong Zhang
Prior to dispatch from manufacturing facilities, seeders require rigorous performance evaluations for their seeding capabilities. Conventional manual inspection methods are notably less efficient. This study introduces a wheat seeding detection approach ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chao Chen, Feng Wang, Yuzhe Cai, Shanlin Yi and Baofeng Zhang
This study aims to improve the Agaricus bisporus detection efficiency and performance of harvesting robots in the complex environment of the mushroom growing house. Based on deep learning networks, an improved YOLOv5s algorithm was proposed for accurate ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chuanxi Niu, Weihao Wang, Hebin Guo and Kexin Li
With the development of the social economy and the continuous growth of the population, emergencies within field stations are becoming more frequent. To improve the efficiency of emergency evacuation of field stations and further protect people?s lives, ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ziyi Li, Zhiqiang Rao, Lu Ding, Biao Ding, Jianjun Fang and Xiaoning Ma
High-speed railway catenaries are vital components in railway traction power supply systems. To ensure stable contact between the pantograph and the catenary, droppers are positioned between the messenger wire and contact line. The failure of one or more...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hui Luo, Lianming Cai and Chenbiao Li
As the operational time of the railway increases, rail surfaces undergo irreversible defects. Once the defects occur, it is easy for them to develop rapidly, which seriously threatens the safe operation of trains. Therefore, the accurate and rapid detect...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xinjian Xiang, Haibin Hu, Yi Ding, Yongping Zheng and Shanbao Wu
This study proposes a GC-YOLOv5s crack-detection network of UAVs to work out several issues, such as the low efficiency, low detection accuracy caused by shadows, occlusions and low contrast, and influences due to road noise in the classic crack-detectio...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chuandong Zhang, Huali Ding, Qinfeng Shi and Yunfei Wang
Due to differences in planting environment, color, shape, size, and compactness, accurate detection of grape clusters is very difficult. Herein, a real-time detection method for grape clusters based on the YOLOv5s deep learning algorithm was proposed. Mo...
ver más
|
|
|
|
|
|