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Animals
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Poultry Housing in 21st Century: Improving Production, Health and Welfare
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Poultry Housing in 21st Century: Improving Production, Health and Welfare

A special issue of Animals (ISSN 2076-2615). This special issue belongs to the section "Poultry".

Deadline for manuscript submissions: 30 June 2024 | Viewed by 985

Special Issue Editor

Prof. Dr. Daniella Jorge De Moura

E-Mail Website
Guest Editor
Agricultural Engineering College, State University of Campinas, Campinas, Brazil
Interests: precision livestock farming; animal welfare; smart housing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Poultry housing in the 21st century has undergone significant advancements to enhance both production and welfare standards for poultry, especially involving precision livestock farming. These improvements are driven by a growing demand for poultry products, coupled with increasing concerns about animal welfare, health and sustainable practices.

Precision livestock farming (PLF) is an advanced approach to poultry production that involves the use of technology, data analytics and automation to monitor and manage livestock production with a high degree of precision and efficiency. The goal of precision livestock farming is to optimize animal health, welfare and production while minimizing resource waste and environmental impact. Poultry housing in the 21st century represents a significant step toward more efficient, sustainable, and animal-friendly poultry production.

The purpose of this Special Issue is to provide a comprehensive and up-to-date exploration of novel technologies in poultry housing that drive improvements in production, health and welfare. Through a collection of research articles, reviews and case studies, this Special Issue aims to shed light on the latest developments in precision livestock farming applied to poultry, highlighting advancements that have the potential to reshape the industry.

Prof. Dr. Daniella Jorge De Moura
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Animals is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • precision livestock farming
  • environmental control
  • smart housing
  • animal welfare

Published Papers (1 paper)

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Research

13 pages, 1542 KiB  
Article
Predicting Risk of Ammonia Exposure in Broiler Housing: Correlation with Incidence of Health Issues
by Leonardo V. S. Barbosa, Nilsa Duarte da Silva Lima, Juliana de Souza Granja Barros, Daniella Jorge de Moura, Fernando Estellés, Adrian Ramón-Moragues, Salvador Calvet-Sanz and Arantxa Villagrá García
Animals 2024, 14(4), 615; https://doi.org/10.3390/ani14040615 - 14 Feb 2024
Viewed by 717
Abstract
The study aimed to forecast ammonia exposure risk in broiler chicken production, correlating it with health injuries using machine learning. Two chicken breeds, fast-growing (Ross®) and slow-growing (Hubbard®), were compared at different densities. Slow-growing birds had a constant density [...] Read more.
The study aimed to forecast ammonia exposure risk in broiler chicken production, correlating it with health injuries using machine learning. Two chicken breeds, fast-growing (Ross®) and slow-growing (Hubbard®), were compared at different densities. Slow-growing birds had a constant density of 32 kg m−2, while fast-growing birds had low (16 kg m−2) and high (32 kg m−2) densities. Initial feeding was uniform, but nutritional demands led to varied diets later. Environmental data underwent selection, pre-processing, transformation, mining, analysis, and interpretation. Classification algorithms (decision tree, SMO, Naive Bayes, and Multilayer Perceptron) were employed for predicting ammonia risk (10–14 pmm, Moderate risk). Cross-validation was used for model parameterization. The Spearman correlation coefficient assessed the link between predicted ammonia risk and health injuries, such as pododermatitis, vision/affected, and mucosal injuries. These injuries encompassed trachea, bronchi, lungs, eyes, paws, and other issues. The Multilayer Perceptron model emerged as the best predictor, exceeding 98% accuracy in forecasting injuries caused by ammonia. The correlation coefficient demonstrated a strong association between elevated ammonia risks and chicken injuries. Birds exposed to higher ammonia concentrations exhibited a more robust correlation. In conclusion, the study effectively used machine learning to predict ammonia exposure risk and correlated it with health injuries in broiler chickens. The Multilayer Perceptron model demonstrated superior accuracy in forecasting injuries related to ammonia (10–14 pmm, Moderate risk). The findings underscored the significant association between increased ammonia exposure risks and the incidence of health injuries in broiler chicken production, shedding light on the importance of managing ammonia levels for bird welfare. Full article
(This article belongs to the Special Issue Poultry Housing in 21st Century: Improving Production, Health and Welfare)
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