Comparing forecasting models for predicting nursery mortality under field conditions using regression and machine learning algorithms

Comparing forecasting models for predicting nursery mortality under field conditions using regression and machine learning algorithms

Swine nursery mortality is one of the most important key performance indicators (KPIs) for commercial swine production systems and, for the purpose of this study, refers to the number of pigs that died during the first 60 days during the post-weaning phase (approximately 170-day period). Likewise, n...

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Bibliographic Details
Main Authors: Edison S. Magalhães, Danyang Zhang, Chong Wang, Pete Thomas, Cesar A.A. Moura, Giovani Trevisan, Derald J. Holtkamp, Christopher Rademacher, Gustavo S. Silva, Daniel C.L. Linhares
Format: Article
Language:English
Published: Elsevier 2023-10-01
Series:Smart Agricultural Technology
Subjects:
Swine
Nursery mortality
Machine-learning
Forecasting
Comparison
Online Access:http://www.sciencedirect.com/science/article/pii/S2772375523001090

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