Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Jingfa Yao"'
Publikováno v:
Heliyon, Vol 10, Iss 16, Pp e36376- (2024)
Quantitative Magnetic Resonance Imaging (qMRI) offers precise measurements of the relaxation characteristics of microstructures, representing a cutting-edge method in non-destructive fruit analysis. This study aims to visualize information on changes
Externí odkaz:
https://doaj.org/article/1842e8d75a43410db8916d171ca1db6c
Publikováno v:
Agriculture, Vol 14, Iss 5, p 666 (2024)
Leaf spot disease is an extremely common disease in the growth process of maize in Northern China and its degree of harm is quite significant. Therefore, the rapid and accurate identification of maize leaf spot disease is crucial for reducing economi
Externí odkaz:
https://doaj.org/article/c9a30dd7c667418a9e04be381d1b6e2b
Publikováno v:
Agriculture, Vol 14, Iss 1, p 126 (2024)
In agricultural production, rapid and accurate detection of peach blossom bloom plays a crucial role in yield prediction, and is the foundation for automatic thinning. The currently available manual operation-based detection and counting methods are
Externí odkaz:
https://doaj.org/article/e9a478b564f94b03a89d84e375490dd0
Autor:
Yuchao Li, Jingyan Liu, Bo Zhang, Yonggang Wang, Jingfa Yao, Xuejing Zhang, Baojiang Fan, Xudong Li, Yan Hai, Xiaofei Fan
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
As an important method for crop phenotype quantification, three-dimensional (3D) reconstruction is of critical importance for exploring the phenotypic characteristics of crops. In this study, maize seedlings were subjected to 3D reconstruction based
Externí odkaz:
https://doaj.org/article/32e7291c0bbc4b85991fca20624d7684
Rapid Modeling Method for The Digital Twin of Five-hundred-meter Aperture Spherical Radio Telescope.
Publikováno v:
IAENG International Journal of Computer Science; Jun2022, Vol. 49 Issue 2, p482-488, 7p
Publikováno v:
2012 Fourth International Conference on Multimedia Information Networking and Security.
Ontology, as the tool with unambiguous definition of things, is chosen as the basic element of feature model in this paper. A meta-model of feature model based on ontology is proposed on the basis of the theory of ontology and feature model. Finally,