Precision livestock farming in buffalo species: a sustainable approach for the future

被引:0
作者
Matera, Roberta [1 ]
Pierro, Federica [1 ]
Santinello, Matteo [1 ]
Fuintino, Antonio Iraci [1 ]
Pacelli, Giovanmaria [1 ]
Norton, Tomas [2 ]
Neglia, Gianluca [1 ]
机构
[1] Univ Naples Federico II, Dept Vet Med & Anim Prod, Via Federico Delpino 1, I-80137 Naples, Italy
[2] Katholieke Univ Leuven, Dept Biosyst, Kasteelpark Arenberg 30, B-3001 Leuven, Belgium
来源
SMART AGRICULTURAL TECHNOLOGY | 2025年 / 11卷
关键词
Welfare; Environmental impact; Feed efficiency; Precision feeding; Reproduction; SOMATIC-CELL COUNT; AUTOMATIC MILKING SYSTEM; PRODUCTION TRAITS; DAIRY-COWS; CATTLE; TEMPERATURE; INDICATORS; PREDICTION; ESTRUS; HEALTH;
D O I
10.1016/j.atech.2025.101060
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
The increasing global demand for animal-derived foods in a climate-changing context requires innovative strategies to enhance farm efficiency and sustainability. Livestock farming is facing increasing pressure from consumers seeking high-quality products, improved animal welfare, and greater traceability. At the same time, the sector is resource-intensive, requiring significant inputs of land, water, and energy, while also contributing to environmental impacts, including greenhouse gas emissions. Precision Livestock Farming (PLF) represents a valuable strategy to tackle or mitigate these challenges by leveraging advanced sensors and digital communication tools for the continuous monitoring of animals and their surroundings. By collecting real-time data on production, reproduction, health, welfare, and environmental parameters, PLF supports more informed decisions and promotes a more sustainable and efficient livestock management system. In recent years, PLF technologies have been applied particularly to species such as pigs, poultry and dairy cattle. Notably, the transfer and adaptation of PLF technologies from dairy cattle to buffalo farming have contributed to the optimization of key farm processes in Europe, particularly in Italy, where the buffalo sector represents a growing market. These advancements not only highlight the potential of PLF in improving efficiency and animal welfare, but also may offer a valuable foundation for its adaptation in other contexts. In particular, dairy buffaloes is expanding in developing countries across Asia and Africa, where buffaloes play a central role in food security and rural economies. However, transferring PLF solutions to these regions requires careful consideration of existing limitations, including scarce financial resources, inadequate infrastructure, and insufficient training for farmers and technicians. This review examines recent advancements in the application of PLF to dairy buffalo farming, highlighting its impacts, current challenges, and future prospects for broader implementation.
引用
收藏
页数:12
相关论文
共 125 条
[1]   Virtual Fences: A Systematic Literature Review [J].
Abdouna, Mahamat ;
Ahmat, Daouda ;
Bissyande, Tegawende F. .
TOWARDS NEW E-INFRASTRUCTURE AND E-SERVICES FOR DEVELOPING COUNTRIES, AFRICOMM 2022, 2023, 499 :115-148
[2]   Heritability and genetic correlations of total and differential somatic cell count with milk yield and composition traits in Italian Simmental cows [J].
Ablondi, Michela ;
Summer, Andrea ;
Stocco, Giorgia ;
Degano, Lorenzo ;
Vicario, Daniele ;
Stefanon, Bruno ;
Sabbioni, Alberto ;
Cipolat-Gotet, Claudio .
JOURNAL OF DAIRY SCIENCE, 2023, 106 (12) :9071-9077
[3]   AN OPTIMUM TRANSFORMATION FOR SOMATIC-CELL CONCENTRATION IN MILK [J].
ALI, AKA ;
SHOOK, GE .
JOURNAL OF DAIRY SCIENCE, 1980, 63 (03) :487-490
[4]  
Animal Task Force, 2016, A strategic research and innovation agenda for a sustainable livestock sector in Europe
[5]  
Associazione Nazionale Allevatori Specie Bufalina (ANASB), 2023, About us
[6]   Review: Development, adoption, and impact of assisted reproduction in domestic buffaloes [J].
Baruselli, Pietro S. ;
de Carvalho, Nelcio A. T. ;
Gasparrini, Bianca ;
Campanile, Giuseppe ;
D'Occhio, Michael J. .
ANIMAL, 2023, 17
[7]   On the use of on-cow accelerometers for the classification of behaviours in dairy barns [J].
Benaissa, Said ;
Tuyttens, Frank A. M. ;
Plets, David ;
de Pessemier, Toon ;
Trogh, Jens ;
Tanghe, Emmeric ;
Martens, Luc ;
Vandaele, Leen ;
Van Nuffel, Annelies ;
Joseph, Wout ;
Sonck, Bart .
RESEARCH IN VETERINARY SCIENCE, 2019, 125 :425-433
[8]   General introduction to precision livestock farming [J].
Berckmans, D. .
ANIMAL FRONTIERS, 2017, 7 (01) :6-11
[9]  
Berckmans D., 2016, Integration of Biological Responses in the Management of bioprocesses
[10]   Efficient approximation of reliabilities for single-step genomic best linear unbiased predictor models with the Algorithm for Proven and Young [J].
Bermann, Matias ;
Lourenco, Daniela ;
Misztal, Ignacy .
JOURNAL OF ANIMAL SCIENCE, 2022, 100 (01)