16   Artículos

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en línea
Yuu Tanimoto and Shinichi Yoshida    
Estimating the fruit size is an important factor because it directly influences size-specific yield estimation, which would be useful for pricing in the market. In this paper, it was considered a method of constructing models for estimating the proportio... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Xiaowu Li, Kun Sun, Hongbo Fan and Zihan He    
Accurate cattle pose estimation is essential for Precision Livestock Farming (PLF). Computer vision-based, non-contact cattle pose estimation technology can be applied for behaviour recognition and lameness detection. Existing methods still face challeng... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Samuel Denard, Atila Ertas, Susan Mengel and Stephen Ekwaro-Osire    
This paper presents results produced by a domain-independent system development model that enables objective and quantitative calculation of certain development cycle characteristics. The presentation recounts the model?s motivation and includes an outli... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Wenyun Tang, Jiahui Chen, Chao Sun, Hanbing Wang and Gen Li    
Traffic parameter characteristics in congested road networks are explored based on traffic flow theory, and observed variables are transformed to a uniform format. The Gaussian mixture model is used to reconstruct route trajectories based on data regardi... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Wangyang Li, Youzhen Xiang, Xiaochi Liu, Zijun Tang, Xin Wang, Xiangyang Huang, Hongzhao Shi, Mingjie Chen, Yujie Duan, Liaoyuan Ma, Shiyun Wang, Yifang Zhao, Zhijun Li and Fucang Zhang    
Applying hyperspectral remote sensing technology to the prediction of soil moisture content (SMC) during the growth stage of soybean emerges as an effective approach, imperative for advancing the development of modern precision agriculture. This investig... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Han Zhang, Yadong Wu, Weihan Zhang and Yuling Zhang    
The precise ascertainment of stellar ages is pivotal for astrophysical research into stellar characteristics and galactic dynamics. To address the prevalent challenges of suboptimal accuracy in stellar age determination and limited proficiency in apprehe... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Peng Lyu, Jeongik Min and Juwhan Song    
A non-invasive automatic broiler weight estimation and prediction method based on a machine learning algorithm was developed to address the issue of high labor costs and stress responses caused by the traditional broiler weighing method in large-scale br... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Liang Zhong, Xueyuan Chu, Jiawei Qian, Jianlong Li and Zhengguo Sun    
With the rapid development of China?s industrialization and urbanization, the problem of heavy metal pollution in soil has become increasingly prominent, seriously threatening the safety of the ecosystem and human health. The development of hyperspectral... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Yishen Lin, Zifan Huang, Yun Liang, Yunfan Liu and Weipeng Jiang    
Citrus fruits hold pivotal positions within the agricultural sector. Accurate yield estimation for citrus fruits is crucial in orchard management, especially when facing challenges of fruit occlusion due to dense foliage or overlapping fruits. This study... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
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
Revista: Agronomy    Formato: Electrónico

 
en línea
Yang Wu, Xingye Zhou, Xudong Wang and Zhimin Ma    
In order to improve the accuracy and reliability of an existing rutting performance prediction model, based on the long-term observation data of the RIOHTrack?s full-scale pavement structure, the rutting performance prediction model in China?s Specificat... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Sudhanshu Panda, Devendra M. Amatya, Rhett Jackson, Ge Sun and Asko Noormets    
The study goal was to develop automated user-friendly remote-sensing based evapotranspiration (ET) estimation tools: (i) artificial neural network (ANN) based models, (ii) ArcGIS-based automated geospatial model, and (iii) executable software to predict ... ver más
Revista: Water    Formato: Electrónico

 
en línea
Pradeep Kumar, Guo-Liang Shih, Bo-Lin Guo, Siva Kumar Nagi, Yibeltal Chanie Manie, Cheng-Kai Yao, Michael Augustine Arockiyadoss and Peng-Chun Peng    
Violent attacks have been one of the hot issues in recent years. In the presence of closed-circuit televisions (CCTVs) in smart cities, there is an emerging challenge in apprehending criminals, leading to a need for innovative solutions. In this paper, t... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Meng Wu and Pudong Shi    
To address the problem of poor detection and under-utilization of the spatial relationship between nodes in human pose estimation, a method based on an improved spatial temporal graph convolutional network (ST-GCN) model is proposed. Firstly, upsampling ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Sabastian Simbarashe Mukonza and Jie-Lun Chiang    
Water temperature is an important indicator of water quality for surface water resources because it impacts solubility of dissolved gases in water, affects metabolic rates of aquatic inhabitants, such as fish and harmful algal blooms (HABs), and determin... ver más
Revista: Water    Formato: Electrónico

 
en línea
Fuan Tsai, Jhe-Syuan Lai, Kieu Anh Nguyen and Walter Chen    
The universal soil loss equation (USLE) is a widely used empirical model for estimating soil loss. Among the USLE model factors, the cover management factor (C-factor) is a critical factor that substantially impacts the estimation result. Assigning C-fac... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

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