Zobrazeno 1 - 10
of 100
pro vyhledávání: '"Guanghui Teng"'
Publikováno v:
Agriculture, Vol 14, Iss 8, p 1277 (2024)
In recent years, the poultry breeding industry has been converted into a large-scale, intensive, and intelligent production mode. The Internet of Things (IoT) is under rapid development, which promotes the development of precision livestock farming.
Externí odkaz:
https://doaj.org/article/1d46fde08cda4c8ba7ee6113826cb652
Publikováno v:
Animals, Vol 13, Iss 13, p 2078 (2023)
Aggressive behavior among pigs is a significant social issue that has severe repercussions on both the profitability and welfare of pig farms. Due to the complexity of aggression, recognizing it requires the consideration of both spatial and temporal
Externí odkaz:
https://doaj.org/article/8e03be3446b942f98a5bb237afff07e5
Autor:
Xiaodong Du, Guanghui Teng
Publikováno v:
Engenharia Agrícola, Vol 41, Iss 3, Pp 263-270 (2021)
ABSTRACT With the increasing scale of farms and the correspondingly higher number of laying hens, it is increasingly difficult for farmers to monitor their animals in a traditional way. Early warning of abnormal animal activities is helpful for farme
Externí odkaz:
https://doaj.org/article/e0776c25299941c088368bfd7d6a44eb
Publikováno v:
Agriculture, Vol 13, Iss 1, p 103 (2022)
Feeding and drinking behaviors are important in pig breeding. Although many methods have been developed to monitor them, most are too expensive for pig research, and some vision-based methods have not been integrated into equipment or systems. In thi
Externí odkaz:
https://doaj.org/article/10cb1d18fd244a64b367fcc7a083af26
Publikováno v:
Agriculture, Vol 12, Iss 9, p 1314 (2022)
The accurate and rapid detection of objects in videos facilitates the identification of abnormal behaviors in pigs and the introduction of preventive measures to reduce morbidity. In addition, accurate and effective pig detection algorithms provide a
Externí odkaz:
https://doaj.org/article/16c87b7a6fee44ae818ccd7f21b9fe7b
Publikováno v:
Engenharia Agrícola, Vol 38, Iss 6, Pp 857-863 (2018)
ABSTRACT This paper presents a web-based data acquisition system developed by the LabVIEW software program for environment monitoring for poultry management. The measurement error and uncertainty analysis should be conducted accurately to maximize th
Externí odkaz:
https://doaj.org/article/35463e30690744f5a1e5f3b57dd3956a
Autor:
Kaidong Lei, Chao Zong, Ting Yang, Shanshan Peng, Pengfei Zhu, Hao Wang, Guanghui Teng, Xiaodong Du
Publikováno v:
Agriculture, Vol 12, Iss 1, p 73 (2022)
In large-scale sow production, real-time detection and recognition of sows is a key step towards the application of precision livestock farming techniques. In the pig house, the overlap of railings, floors, and sows usually challenge the accuracy of
Externí odkaz:
https://doaj.org/article/4cfcda0c635d49dc85860717ebe2aab2
Publikováno v:
Animals; Volume 13; Issue 13; Pages: 2078
Aggressive behavior among pigs is a significant social issue that has severe repercussions on both the profitability and welfare of pig farms. Due to the complexity of aggression, recognizing it requires the consideration of both spatial and temporal
Publikováno v:
Animals, Vol 11, Iss 5, p 1472 (2021)
Heat stress affects the estrus time and conception rate of sows. Compared with other life stages of pigs, sows are more susceptible to heat stress because of their increased heat production. Various indicators can be found in the literature assessing
Externí odkaz:
https://doaj.org/article/8698b0ce267b42879b0d019474f3ff19
Publikováno v:
Animals, Vol 11, Iss 6, p 1485 (2021)
This study proposes a method and device for the intelligent mobile monitoring of oestrus on a sow farm, applied in the field of sow production. A bionic boar model that imitates the sounds, smells, and touch of real boars was built to detect the oest
Externí odkaz:
https://doaj.org/article/b77bc1ba08ef45fb92672daf80317c8f