An Expert System Model for Animal Welfare for Bovine Cattle Dehydration Risk Detection Using Precision Livestock Farming

Silvia Molina (), Emilio Luque () and Dolores Rexachs ()
Additional contact information
Silvia Molina: University, National of San Luis
Emilio Luque: University, Autonoma of Barcelona
Dolores Rexachs: University, Autonoma of Barcelona

A chapter in Smart and Secure Embedded and Mobile Systems, 2024, pp 241-250 from Springer

Abstract: Abstract The preservation of Animal Welfare improves bovine production, in particular, the detection of animal’s dehydration risk is fundamental, it avoids in extreme cases loss of these. This article presents a model of rule-based expert system to detect the bovine’s dehydration risk in cattle farm with extensive production systems. This system is based on Internet of Things (IoT) dispositives sensor measurements, these devices are part of the Precision Livestock Farming and they are in the animal’s environment inclusive put on/in them and information from monitoring ecosystems available in the cloud.

Keywords: Expert system model; Animal welfare; Precision livestock farming; Internet of things (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-031-56603-5_21

Ordering information: This item can be ordered from
http://www.springer.com/9783031566035

DOI: 10.1007/978-3-031-56603-5_21

Access Statistics for this chapter

More chapters in Progress in IS from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().