Zobrazeno 1 - 10
of 244
pro vyhledávání: '"Suresh Neethirajan"'
Autor:
Suresh Neethirajan
Publikováno v:
International Journal of Cognitive Computing in Engineering, Vol 5, Iss , Pp 123-131 (2024)
This paper explores the fusion of data science and cognitive techniques in deciphering the behaviors and emotions of farm animals. The focus is on the strategic application of digital imaging and artificial intelligence to discern subtle behavioral p
Externí odkaz:
https://doaj.org/article/4ae3401a82fc43a3b40a0ea25a136c17
Publikováno v:
Smart Agricultural Technology, Vol 9, Iss , Pp 100524- (2024)
The agriculture industry is currently facing significant challenges in effectively monitoring the health of livestock. Traditional methods of health monitoring are often labor-intensive, inefficient, and insufficiently responsive to the needs of mode
Externí odkaz:
https://doaj.org/article/5d2dcac2e63b47539444ca94bedeb82a
Autor:
Suresh Neethirajan
Publikováno v:
Human-Centric Intelligent Systems, Vol 4, Iss 1, Pp 77-92 (2023)
Abstract In the wake of rapid advancements in artificial intelligence (AI) and sensor technologies, a new horizon of possibilities has emerged across diverse sectors. Livestock farming, a domain often sidelined in conventional AI discussions, stands
Externí odkaz:
https://doaj.org/article/1086306cd2924a3794b0147592e6a4d0
Autor:
Suresh Neethirajan
Publikováno v:
AgriEngineering, Vol 5, Iss 1, Pp 488-505 (2023)
The emergence of precision and digital livestock farming presents an opportunity for sustainable animal farming practices that enhance animal welfare and health. However, this transformation of modern animal farming through digital technology has sev
Externí odkaz:
https://doaj.org/article/4d88fced2f364706bbc3955fb1afccb3
Autor:
Suresh Neethirajan
Publikováno v:
Climate, Vol 12, Iss 2, p 15 (2024)
This paper explores the transformative potential of Big Data and Artificial Intelligence (AI) in propelling the dairy industry toward net zero emissions, a critical objective in the global fight against climate change. Employing the Canadian dairy se
Externí odkaz:
https://doaj.org/article/7df7d0cdc8fa41babf55a2cdfdfa3432
Autor:
Suresh Neethirajan
Publikováno v:
Agriculture, Vol 13, Iss 9, p 1706 (2023)
This paper pioneers a novel exploration of environmental impacts in livestock farming, focusing on pig farming’s intersection with climate change and sustainability. It emphasizes the transformative potential of data-driven Artificial Intelligence
Externí odkaz:
https://doaj.org/article/31b18936ae914af599d29d938fa35ee0
Autor:
Suresh Neethirajan
Publikováno v:
Sensors, Vol 23, Iss 16, p 7045 (2023)
This technical note critically evaluates the transformative potential of Artificial Intelligence (AI) and sensor technologies in the swiftly evolving dairy livestock export industry. We focus on the novel application of the Internet of Things (IoT) i
Externí odkaz:
https://doaj.org/article/9029f74176e944a08ec4eb7bd9afdbac
Autor:
Suresh Neethirajan
Publikováno v:
Animals, Vol 13, Iss 16, p 2585 (2023)
In response to escalating global demand for poultry, the industry grapples with an array of intricate challenges, from enhancing productivity to improving animal welfare and attenuating environmental impacts. This comprehensive review explores the tr
Externí odkaz:
https://doaj.org/article/c0f9262fba8346d8b0cd0cf6dffa370f
Publikováno v:
Agriculture, Vol 13, Iss 8, p 1522 (2023)
The advent of artificial intelligence (AI) in animal husbandry, particularly in pig interaction recognition (PIR), offers a transformative approach to enhancing animal welfare, promoting sustainability, and bolstering climate resilience. This innovat
Externí odkaz:
https://doaj.org/article/566eba1caf214dc59652497b78b91ebc
Publikováno v:
Frontiers in Animal Science, Vol 3 (2022)
Externí odkaz:
https://doaj.org/article/bb27151092fc4e4a9e9b67bca3507fe7