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  1. Pubblicazioni

A Literature Review on the Use of Modeling Approaches Applied to Automatic Milking Systems

Articolo
Data di Pubblicazione:
In Stampa
Abstract:
Automatic milking systems (AMSs) are among the earliest Precision Livestock Farming developments that have transformed dairy farming worldwide. This review aims to gather, evaluate, and summarize papers that focus on the use of modeling approaches in the context of AMS. We provided a review of 60 articles with a specific focus on cows’ health, production, and behavior/management. The most used modeling approach was Machine Learning (ML, present in 63% of the studies), followed by statistical analysis (14%), fuzzy algorithms (9%), deterministic models (7%), and detection algorithms (7%). Most of the reviewed studies (82%) focused on the detection of cows' health, specifically mastitis, while only 11% were concerned with milk production. Accurate forecasting of dairy cow milk yield and knowledge on the deviation between expected and observed milk yields of individual cows would be beneficial in dairy cow management. Likewise, the study of cows’ behavior and the herd management in AMSs is under- explored (7%). Despite the increasing use of ML techniques in this field there is still a lack of a robust methodology for their application. In particular, we identified a significant gap in the systematic balancing of positive and negative classes for health prediction models.
Tipologia CRIS:
03B-Review in Rivista / Rassegna della Lett. in Riv. / Nota Critica
Keywords:
dairy cows; Automatic Milking System; algorithms; modeling approaches; statistical analyses; Machine Learning; mastitis detection; milk production; cows’ behavior
Elenco autori:
Laura Ozella, Karina Brotto Rebuli, Claudio Forte, Mario Giacobini
Autori di Ateneo:
FORTE Claudio
OZELLA Laura
Link alla scheda completa:
https://iris.unito.it/handle/2318/1909350
Pubblicato in:
ANIMALS
Journal
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Settori (12)


LS9_10 - Veterinary and applied animal sciences - (2022)

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