Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Leifeng Guo"'
Autor:
Leifeng Guo, Yanqing Peng, Ronghua Li, Zilu Ji, Michaël Bekaert, Changkao Mu, Herve Migaud, Weiwei Song, Ce Shi, Chunlin Wang
Publikováno v:
Aquaculture Reports, Vol 38, Iss , Pp 102295- (2024)
Scylla paramamosain is an euryhaline species that is extensively distributed in coastal regions along the Indian and Pacific Oceans. Recently, S. paramamosain are considered as species that can be cultured in low-salinity areas to improve the local e
Externí odkaz:
https://doaj.org/article/960ca2b124da45eca3173976477fef57
Publikováno v:
Drones, Vol 8, Iss 10, p 559 (2024)
Preharvest crop yield estimation is crucial for achieving food security and managing crop growth. Unmanned aerial vehicles (UAVs) can quickly and accurately acquire field crop growth data and are important mediums for collecting agricultural remote s
Externí odkaz:
https://doaj.org/article/84007bdd85b3478ca559eb70e7700fb5
Publikováno v:
Agronomy, Vol 14, Iss 9, p 1890 (2024)
Quick and accurate prediction of crop yields is beneficial for guiding crop field management and genetic breeding. This paper utilizes the fast and non-destructive advantages of an unmanned aerial vehicle equipped with a multispectral camera to acqui
Externí odkaz:
https://doaj.org/article/870c3da45a6046b384cc6dd383974ca6
Publikováno v:
Applied Sciences, Vol 14, Iss 13, p 5424 (2024)
This study demonstrated that wearable devices can distinguish between different levels of horse activity, categorized into three types based on the horse’s gaits: low activity (standing), medium activity (walking), and high activity (trotting, cant
Externí odkaz:
https://doaj.org/article/04b4f7426af745e2bf3d9e602c7e771e
Publikováno v:
Animals, Vol 14, Iss 12, p 1791 (2024)
Cattle rumination behavior is strongly correlated with its health. Current methods often rely on manual observation or wearable devices to monitor ruminating behavior. However, the manual monitoring of cattle rumination is labor-intensive, and wearab
Externí odkaz:
https://doaj.org/article/407b2a14ecb4491f893f6fa5c8d8a786
Autor:
Wenju Zhang, Yaowu Wang, Leifeng Guo, Greg Falzon, Paul Kwan, Zhongming Jin, Yongfeng Li, Wensheng Wang
Publikováno v:
Animals, Vol 14, Iss 9, p 1324 (2024)
Standing and lying are the fundamental behaviours of quadrupedal animals, and the ratio of their durations is a significant indicator of calf health. In this study, we proposed a computer vision method for non-invasively monitoring of calves’ behav
Externí odkaz:
https://doaj.org/article/d7830934e7ba468a90c65883d1d4e500
Autor:
Haitao Chen, Yujing Han, Yongchang Liu, Dongyang Liu, Lianqiang Jiang, Kun Huang, Hongtao Wang, Leifeng Guo, Xinwei Wang, Jie Wang, Wenxin Xue
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
Tobacco Mosaic Virus (TMV) and Potato Virus Y (PVY) pose significant threats to crop production. Non-destructive and accurate surveillance is crucial to effective disease control. In this study, we propose the adoption of hyperspectral and machine le
Externí odkaz:
https://doaj.org/article/dfa0e04efacd4c0487fe7a7b2d4a4d94
Publikováno v:
Drones, Vol 7, Iss 10, p 620 (2023)
Real-time object detection based on UAV remote sensing is widely required in different scenarios. In the past 20 years, with the development of unmanned aerial vehicles (UAV), remote sensing technology, deep learning technology, and edge computing te
Externí odkaz:
https://doaj.org/article/cdee4cddfa7241829eb5c0bb7fa62813
Autor:
Xin Wang, Leifeng Guo
Publikováno v:
Applied Sciences, Vol 13, Iss 13, p 7377 (2023)
Hierarchical multi-label text classification (HMTC) is a highly relevant and widely discussed topic in the era of big data, particularly for efficiently classifying extensive amounts of text data. This study proposes the HTMC-PGT framework for povert
Externí odkaz:
https://doaj.org/article/56154e70f56f4f73a526f3cfd57e82f4
Publikováno v:
Sensors, Vol 23, Iss 13, p 5831 (2023)
Step counting is an effective method to assess the activity level of grazing sheep. However, existing step-counting algorithms have limited adaptability to sheep walking patterns and fail to eliminate false step counts caused by abnormal behaviors. T
Externí odkaz:
https://doaj.org/article/110916c2167248928941d147e68ece01