Monitoring of Cows: Management and Sustainability
A special issue of Animals (ISSN 2076-2615). This special issue belongs to the section "Cattle".
Deadline for manuscript submissions: 10 June 2024 | Viewed by 9882
Special Issue Editors
Interests: precision zootechnics; handling; instrumentation; comfort and well-being of dairy cows in Free-Stall and Compost Barn system
Special Issues, Collections and Topics in MDPI journals
Interests: livestock housing; housing systems with respect to sustainability goals and technical innovations; freewalk dairy barns; climate control in livestock buildings; emissions of ammonia and greenhouse gases
Special Issues, Collections and Topics in MDPI journals
Interests: precision livestock farming (PLF); modelling and management of animal responses; animal health and welfare
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Dairy production systems must provide good productivity and profitability but also demonstrate a reduced impact on the environment, good animal welfare standards, and sustainability. Within this context, the ability of dairy cattle producers to monitor the productivity, behaviour, and welfare of their animals and environment plays an important role in the whole production. Introducing dairy technology for monitoring dairy cattle and the environment enable us to precisely describe the environment and discriminate cow activities and to avoid disturbing natural behavioral expression. However, for precision dairy-monitoring technologies to increase labor and production efficiency, they must easily and accurately quantify meaningful environmental, physiological, or behavioral parameters.
The aim of this Special Issue is to bring together the latest findings concerning the monitoring of cows grazing on pasture or in confinement systems. Original research papers as well as literature reviews from different research areas, such as monitoring of animal health, animal reproduction, animal welfare and animal behaviour, besides monitoring of the environment system and innovative techniques of data measurements, monitoring of gas emissions, monitor devices, analysis algorithms, precision technologies, mathematical modelling and building design, with a link to management and sustainability, are welcomed to this Special Issue. Additional topics and interdisciplinary studies regarding the environmental, economic, and social impact of sustainability and management of cows will also be considered.
Dr. Patrícia Ferreira Ponciano Ferraz
Prof. Dr. Matteo Barbari
Prof. Dr. Tomas Norton
Guest Editors
Manuscript Submission Information
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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
- monitoring of cows grazing on pasture or in confinement systems (productivity, health, behaviour, welfare, reproduction, environment, gases, milk quality, etc.)
- sustainability of the system and production
- social and economic impact
- management of cattle system
- precision livestock (technologies, mathematical modelling, techniques of data measurements, monitor devices, analysis algorithms, precision technologies, sensors, software, sound analysis, images analysis, etc.)
- traceability
Planned Papers
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: Assessment of Ammonia Emissions and Greenhouse Gases in Dairy Cattle Facilities: A Bibliometric Analysis
Authors: Patricia Ferreira Ponciano Ferraz1*; Gabriel Araujo e Silva Ferraz 1; Jacqueline Cardoso Ferreira1; João Victor Aguiar2; Lucas Santos Santana3; Tomas Joseph Norton4
Affiliation: 1 Departament of Agricultural Enginneering, Federal University of Lavras (UFLA), Lavras 37200-900, Brazil, patricia.ponciano@ufla.br (P.F.P.F.); gabriel.ferraz@ufla.br (G.A S.F.); jacardosof@gmail.com (J.C.F)
2 Faculty of Animal Science and Veterinary Medicine, Federal University of Lavras (UFLA), Lavras 37200-900, Brazil, joao.aguiar@estudante.ufla.br
3 Department of Agricultural and Environmental Engineering, Federal University of the Jequitinhonha and Mucuri Valleys (UFVJM), Unaí 38610-000, Brazil, lucas.unemat@hotmail.com
4 M3-BIORES-Measure, Model & Manage Bioresponses, KU Leuven, Kasteelpark Arenberg 30, Leuven, B-3001, Belgium.
* Correspondence: patricia.ponciano@ufla.br
Abstract: Dairy farming is recognized as a significant source of pollutant gas emissions, contributing to climate change and air quality degradation. A deeper understanding of these emissions in milk production is crucial for promoting productive efficiency, sustainable resource use, and animal welfare. The objective of this paper is to provide a comprehensive analysis of NH3 and greenhouse gas emissions in dairy farming using bibliometric methods. A total of 183 English-language articles containing experimental data were selected from the Scopus and Web of Science databases, covering publications between January 1987 and April 2024. There was a notable increase in publications starting from 1997, with the highest number of papers published in 2022. The most significant areas of research focus on NH3 and CH4 emissions, encompassing their quantification, volatilization processes, and the development of effective mitigation strategies. Additional gases such as CO2, N2O, and H2S have also been studied. CO2 emissions primarily result from livestock respiration, which can impact both animal welfare and the sustainability of dairy farming operations. N2O, a potent greenhouse gas with a global warming potential far exceeding that of CO2, is associated with manure management and contributes to nitrogen deposition in ecosystems. H2S emissions occur during the anaerobic decomposition of manure, posing potential health risks to animals and workers in dairy facilities. The most common production system is intensive Free Stall installations, with the United States as the most influential country in this field of research. Prominent research institutions include the University of California-Davis and Aarhus University in Denmark. The bibliometric analysis revealed the evolution of scientific research on gas emissions in dairy cattle farming, identifying trends, knowledge gaps, and opportunities for future research. This study provides valuable insights into gas emission sources, air quality, environmental sustainability, and animal welfare within the context of dairy farming. It highlights potential areas for further exploration, including the development and implementation of innovative strategies to mitigate gas emissions and enhance the sustainability of dairy production."
Title: Digital and Precision Technologies in Dairy Cattle Farming: A Bibliometric Analysis
Authors: Franck Morais de Oliveira; Gabriel Araújo e Silva Ferraz; Ana Luíza Guimarães André; Lucas Santos Santana; Tomas Norton; Patrícia Ferreira Ponciano Ferraz
Affiliation: Department of Agricultural Engineering, Federal University of Lavras (UFLA), Lavras 37200-900, Brazil
Abstract: The advancement of technology has significantly transformed the livestock landscape, particularly in the management of dairy cattle, through the incorporation of digital and precision approaches. This study presents a bibliometric analysis focused on these technologies involving dairy farming, to explore and map the extent of research in the scientific literature. Through this review, it was possible to investigate academic production related to digital and precision livestock farming and identify emerging patterns, main research themes and author collaborations. To carry out this investigation in the literature, the entire timeline was considered, finding works from 2008 onwards and considering the end date of the search in November 2023, the date of the research, in the scientific databases Scopus and Web of Science. Next, the Bibliometrix package in R and its Biblioshiny software extension were used as a graphical interface, in addition to the VosViewer software, focusing on filtering and creating graphs and thematic maps to analyze the temporal evolution of 198 works identified and classified for this research. The results indicate that the main journals of interest for publications with identified affiliations are "Computers and Electronics in Agriculture" and "Journal of Dairy Science". It was analyzed that the authors currently focus on technologies such as machine learning, deep learning and computer vision for behavioral monitoring, identification of livestock and management of thermal stress caused to these animals, to make important decisions to promote health and efficiency in the production of dairy cattle, contributing to more sustainable practices focused on animal welfare.