Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Yangxu Wang"'
Publikováno v:
Plant Methods, Vol 19, Iss 1, Pp 1-16 (2023)
Abstract Background Detection and counting of wheat heads are of crucial importance in the field of plant science, as they can be used for crop field management, yield prediction, and phenotype analysis. With the widespread application of computer vi
Externí odkaz:
https://doaj.org/article/9a412a35556b4352bde5c1d86249134d
Accurate and fast implementation of soybean pod counting and localization from high-resolution image
Autor:
Zhenghong Yu, Yangxu Wang, Jianxiong Ye, Shengjie Liufu, Dunlu Lu, Xiuli Zhu, Zhongming Yang, Qingji Tan
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
IntroductionSoybean pod count is one of the crucial indicators of soybean yield. Nevertheless, due to the challenges associated with counting pods, such as crowded and uneven pod distribution, existing pod counting models prioritize accuracy over eff
Externí odkaz:
https://doaj.org/article/c54f03651d8b4d24bcf31c127da1a8fc
Publikováno v:
IEEE Access, Vol 11, Pp 116196-116205 (2023)
Plant detection and counting play a crucial role in modern agriculture, providing vital references for precision management and resource allocation. This study follows the footsteps of machine learning experts by introducing the state-of-the-art Yolo
Externí odkaz:
https://doaj.org/article/27fdac3566554961a539bb25a447ce94
Publikováno v:
International Journal of Advanced Computer Science & Applications; Sep2024, Vol. 15 Issue 9, p423-431, 9p
Autor:
Yaru Huang, Yangxu Wang
Publikováno v:
International Journal of Advanced Computer Science & Applications; May2024, Vol. 15 Issue 5, p1143-1150, 8p
Autor:
Yansong Zhang, Yingjun Sun, Wenzhou Du, Kuo Niu, Hongtao Dong, Ya Xi, Bowen Wang, YangXu Wang
Publikováno v:
Combustion Science and Technology. :1-17
Autor:
Wenchao Xu, Yangxu Wang
Publikováno v:
International Journal of Advanced Computer Science & Applications; 2024, Vol. 15 Issue 2, p561-569, 9p
Autor:
Wenchao Xu, Yangxu Wang
Publikováno v:
International Journal of Advanced Computer Science & Applications; Jan2024, Vol. 15 Issue 1, p533-539, 7p
Background: Detection and counting of wheat heads are of crucial importance in the field of plant science, as they can be used for crop field management, yield prediction, and phenotype analysis. With the widespread application of computer vision tec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4a09bd1a564d8eb20c15ad7113d2de6
https://doi.org/10.21203/rs.3.rs-2841554/v1
https://doi.org/10.21203/rs.3.rs-2841554/v1
Publikováno v:
Neural Computing and Applications. 31:3455-3467
The aim of automated stem cell motility analysis is reliable processing and evaluation of cell behaviors such as translocation, mitosis, death, and so on. Cell tracking plays an important role in this research. In practice, tracking stem cells is dif