Zobrazeno 1 - 10
of 937
pro vyhledávání: '"Ye, Mu"'
Publikováno v:
npj Climate and Atmospheric Science, Vol 7, Iss 1, Pp 1-12 (2024)
Abstract The hydrological cycle in South America during austral summer, including extreme precipitation and floods, is significantly influenced by northerly low-level jets (LLJs) along the eastern Andes. These synoptic weather events have been associ
Externí odkaz:
https://doaj.org/article/9ba8d4b08e1c4d71b41e3b0851014d06
Autor:
He Gong, Lingyun Ni, Hongli Chao, Zeye Liu, Hang Zhu, Tianli Hu, Ying Guo, Zhiqiang Cheng, Ye Mu, Daming Zhang
Publikováno v:
ACS Omega, Vol 9, Iss 42, Pp 42932-42943 (2024)
Externí odkaz:
https://doaj.org/article/53dac58f475742e29eb05ea947e70c35
Publikováno v:
Agronomy, Vol 14, Iss 11, p 2652 (2024)
Northern corn leaf blight (NCLB) is caused by a fungus and can be susceptible to the disease throughout the growing period of corn, posing a significant impact on corn yield. Aiming at the problems of under-segmentation, over-segmentation, and low se
Externí odkaz:
https://doaj.org/article/82d6f38b80b7450da3a7001debfad0ee
Publikováno v:
npj Climate and Atmospheric Science, Vol 6, Iss 1, Pp 1-11 (2023)
Abstract Northerly low-level jets (LLJ) along the eastern Andes are important conduits of moisture transport and play central roles in modulating precipitation in South America. This study further investigates the variability of the LLJ during extend
Externí odkaz:
https://doaj.org/article/3380298b6a0a427c8d3af1e1e4c3c510
Autor:
Ye Mu, Jinghuan Hu, Heyang Wang, Shijun Li, Hang Zhu, Lan Luo, Jinfan Wei, Lingyun Ni, Hongli Chao, Tianli Hu, Yu Sun, He Gong, Ying Guo
Publikováno v:
Animals, Vol 14, Iss 19, p 2800 (2024)
In modern animal husbandry, intelligent digital farming has become the key to improve production efficiency. This paper introduces a model based on improved YOLOv8, Cattle Behavior Recognition-YOLO (CBR-YOLO), which aims to accurately identify the be
Externí odkaz:
https://doaj.org/article/3ea248c7127a4b79b6dcb243cb992508
Publikováno v:
Animals, Vol 14, Iss 18, p 2640 (2024)
As the sika deer breeding industry flourishes on a large scale, accurately assessing the health of these animals is of paramount importance. Implementing posture recognition through target detection serves as a vital method for monitoring the well-be
Externí odkaz:
https://doaj.org/article/0d1914950d6d41d7bcd863d5773fe0c7
Autor:
Jinfan Wei, He Gong, Shijun Li, Minghui You, Hang Zhu, Lingyun Ni, Lan Luo, Mengchao Chen, Hongli Chao, Jinghuan Hu, Caocan Zhu, Heyang Wang, Jingyi Liu, Jiaxin Nian, Wenye Fan, Ye Mu, Yu Sun
Publikováno v:
Agronomy, Vol 14, Iss 8, p 1640 (2024)
Crop diseases and pests are important factors restricting agricultural production. Traditional pest detection methods are mainly targeted at a single pest species, which is difficult to meet the needs of multi-target identification and rapid response
Externí odkaz:
https://doaj.org/article/d2df5b243bf8456a8ba95847c274053b
Publikováno v:
PLoS ONE, Vol 19, Iss 7, p e0307252 (2024)
[This corrects the article DOI: 10.1371/journal.pone.0260510.].
Externí odkaz:
https://doaj.org/article/323e06ce22e346738eef715a9e049d13
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