254   Artículos

 
en línea
Lina Zhou, Leijinyu Zhou, Hongbo Wu, Tingting Jing, Tianhao Li, Jinsheng Li, Lijuan Kong and Limei Chen    
In order to monitor cadmium contamination in lettuce quickly, non-invasively, and accurately, and to understand the growth status of lettuce under cadmium pollution, lettuce was used as the test material to detect and analyze the visible?near-infrared re... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Torrey Wagner, Dennis Guhl and Brent Langhals    
Given the emergence of China as a political and economic power in the 21st century, there is increased interest in analyzing Chinese news articles to better understand developing trends in China. Because of the volume of the material, automating the cate... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Florin Leon, Marius Gavrilescu, Sabina-Adriana Floria and Alina Adriana Minea    
This paper proposes a classification methodology aimed at identifying correlations between job ad requirements and transversal skill sets, with a focus on predicting the necessary skills for individual job descriptions using a deep learning model. The ap... ver más
Revista: Information    Formato: Electrónico

 
en línea
Zihao Zhu and Yonghua Xie    
Black soil plays an important role in maintaining a healthy ecosystem, promoting high-yield and efficient agricultural production, and conserving soil resources. In this paper, a typical black soil area of Keshan Farm in Qiqihar City, Heilongjiang Provin... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Feng Zhou, Shijing Hu, Xin Du, Xiaoli Wan and Jie Wu    
In the current field of disease risk prediction research, there are many methods of using servers for centralized computing to train and infer prediction models. However, this centralized computing method increases storage space, the load on network band... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Zhejun Zhang, Huiying Chen, Ruonan Huang, Lihong Zhu, Shengling Ma, Larry Leifer and Wei Liu    
This study introduces a novel tool for classifying user needs in user experience (UX) design, specifically tailored for beginners, with potential applications in education. The tool employs the Kano model, text analysis, and deep learning to classify use... ver más
Revista: AI    Formato: Electrónico

 
en línea
Yongbo Liu, Peng He, Yan Cao, Conghua Zhu and Shitao Ding    
A critical precondition for realizing mechanized transplantation in rice cultivation is the implementation of seedling tray techniques. To augment the efficacy of seeding, a precise evaluation of the quality of rice seedling cultivation in these trays is... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Che-Hao Chang, Jason Lin, Jia-Wei Chang, Yu-Shun Huang, Ming-Hsin Lai and Yen-Jen Chang    
Recently, data-driven approaches have become the dominant solution for prediction problems in agricultural industries. Several deep learning models have been applied to crop yield prediction in smart farming. In this paper, we proposed an efficient hybri... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Carlos Alejandro Perez Garcia, Marco Bovo, Daniele Torreggiani, Patrizia Tassinari and Stefano Benni    
The escalating global population and climate change necessitate sustainable livestock production methods to meet rising food demand. Precision Livestock Farming (PLF) integrates information and communication technologies (ICT) to improve farming efficien... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Lei Sun, Chongchong Yang, Jun Wang, Xiwen Cui, Xuesong Suo, Xiaofei Fan, Pengtao Ji, Liang Gao and Yuechen Zhang    
Existing maize production is grappling with the hurdles of not applying nitrogen fertilizer accurately due to subpar detection accuracy and responsiveness. This situation presents a significant challenge, as it has the potential to impact the optimal yie... ver más
Revista: Agronomy    Formato: Electrónico

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