Decision-Making Applications on Smart Livestock Farming

Irenilza Alencar Nääs () and Jair Minoro Abe
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Irenilza Alencar Nääs: Universidade Paulista
Jair Minoro Abe: Universidade Paulista

A chapter in Information and Communication Technologies for Agriculture—Theme III: Decision, 2022, pp 199-220 from Springer

Abstract: Abstract Smart livestock farming systems may provide real-time on-farm scenarios enabling fast interventions that benefit the current herd or flock. Smart decision-making technologies refer to more precise control over livestock production processes, helping farmers improve their productivity and profitability. Livestock process parameters are often faced with inaccurate, incomplete, or even conflicting data, and a way of minimizing this effect when processing data is the use of non-classical logic. The use of conceptual non-classical logic might improve smart tools allowing for non-intrusive assessment of health status and welfare, where information can be collected without the stress of disturbing or handling animals. Continuous monitoring can also offer a more complete picture of the overall health and/or well-being of animals rather than a view in time, as provided by traditional assessment. Alerting farmers to problems as they arise in real-time allows for immediate and targeted interventions to benefit the current herds or flocks. This book chapter introduces the fundamentals of managerial processes using non-classic logic and data mining and offers several applications to improve the decision-making of smart livestock farming.

Keywords: Decision-making; Smart livestock farming (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-3-030-84152-2_10

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DOI: 10.1007/978-3-030-84152-2_10

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