66   Artículos

 
en línea
Min Hao, Quan Sun, Chuanzhong Xuan, Xiwen Zhang, Minghui Zhao and Shuo Song    
To achieve automated farming management, including the recording, tracking, and statistics of sheep, we harness deep learning technology for sheep face recognition research, and the further development of lightweight sheep face recognition models. Deep l... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Huizhong Xiong, Xiaotong Gao, Ningyi Zhang, Haoxiong He, Weidong Tang, Yingqiu Yang, Yuqian Chen, Yang Jiao, Yihong Song and Shuo Yan    
A novel deep learning model, DiffuCNN, is introduced in this paper, specifically designed for counting tobacco lesions in complex agricultural settings. By integrating advanced image processing techniques with deep learning methodologies, the model signi... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Chunguang Bi, Shuo Zhang, He Chen, Xinhua Bi, Jinjing Liu, Hao Xie, Helong Yu, Shaozhong Song and Lei Shi    
Ensuring the security of germplasm resources is of great significance for the sustainable development of agriculture and ecological balance. By combining the morphological characteristics of maize seeds with hyperspectral data, maize variety classificati... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Qibo Tao, Jiayi Xing, Fansheng Meng, Yaqi Zhang, Xinyu Liu, Shuo Guo, Ye Shan, Shangzhi Zhong, Juan Sun and Yanhua Zhao    
Seed vigor is an important aspect of seed quality. It is critical to predict seed vigor and plant seedling emergence under diverse environmental conditions using the laboratory vigor test. Accordingly, laboratory experiments were conducted to determine t... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Lexin Zhang, Kuiheng Chen, Liping Zheng, Xuwei Liao, Feiyu Lu, Yilun Li, Yuzhuo Cui, Yaze Wu, Yihong Song and Shuo Yan    
This study introduces a novel high-accuracy fruit fly detection model based on the Transformer structure, specifically aimed at addressing the unique challenges in fruit fly detection such as identification of small targets and accurate localization agai... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Xiao Zhang, Weitao Liu, Mengting Cao, Shuo Zhang and Jiaoyun Hou    
Current research efforts aim to develop insulating building materials to cope with hot tunnels by using crop straw fibers. The amount of straw fiber incorporated included different percentages of the gelling material mass: 0% (reference specimen), 2.5%, ... ver más
Revista: Buildings    Formato: Electrónico

 
en línea
Zhiyong Zhang, Shuo Wang and Yanqing Zhang    
Water is one of the important factors affecting pork quality. In this study, near-infrared (NIR) spatially resolved (SR) spectroscopy was used to detect the water content of pork. The SR spectra of 150 pork samples were collected within the light source?... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Zhengdao Liu, Tao Wang, Suyuan Liu, Xiaoli Yan, Hongbo Zhao, Xiaopeng Wu and Shuo Zhang    
Wild chrysanthemum has a high medicinal value. Its mechanized harvest can improve harvesting efficiency, reduce labor costs and improve planting benefits, which is an important way to promote artificial planting. However, one of the difficulties in mecha... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Shuo Tang, Bing Lei, Zhiyuan Feng, Honglei Guo, Ping Zhang and Guozhe Meng    
Graphene oxide (GO), derived from the two-dimensional nanosheet graphene, has received unprecedented attention in the field of metal corrosion protection owing to its excellent barrier performance and various active functional groups. In this review, the... ver más
Revista: Coatings    Formato: Electrónico

 
en línea
Shuo Zhang, Emma Robinson and Malabika Basu    
The operation and maintenance (O&M) issues of offshore wind turbines (WTs) are more challenging because of the harsh operational environment and hard accessibility. As sudden component failures within WTs bring about durable downtimes and significant... ver más
Revista: Algorithms    Formato: Electrónico

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