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Emerging Precision Management Methods in Poultry Sector

Author

Listed:
  • Katarzyna Olejnik

    (Department of Environment Hygiene and Animal Welfare, Wrocław University of Environmental and Life Sciences, 51-630 Wrocław, Poland)

  • Ewa Popiela

    (Department of Environment Hygiene and Animal Welfare, Wrocław University of Environmental and Life Sciences, 51-630 Wrocław, Poland)

  • Sebastian Opaliński

    (Department of Environment Hygiene and Animal Welfare, Wrocław University of Environmental and Life Sciences, 51-630 Wrocław, Poland)

Abstract

New approach to improve welfare in the poultry sector is targeted at the precise management of animals. In poultry production, we observe that birds’ health and quality of poultry products depend significantly on good welfare conditions, affecting economic efficiency. Using technology solutions in different systems of animal production is an innovation that can help farmers more effectively control the environmental conditions and health of birds. In addition, rising public concern about poultry breeding and welfare leads to developing solutions to increase the efficiency of control and monitoring in this animal production branch. Precision livestock farming (PLF) collects real-time data of birds using different types of technologies for this process. It means that PLF can help prevent lowering animal welfare by detecting early stages of diseases and stressful situations during birds’ management and allows steps to be taken quickly enough to limit the adverse effects. This review shows connections between the possibilities of using the latest technologies to monitor laying hens and broilers in developing precision livestock farming.

Suggested Citation

  • Katarzyna Olejnik & Ewa Popiela & Sebastian Opaliński, 2022. "Emerging Precision Management Methods in Poultry Sector," Agriculture, MDPI, vol. 12(5), pages 1-18, May.
    • Handle: RePEc:gam:jagris:v:12:y:2022:i:5:p:718-:d:818433
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    References listed on IDEAS

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    5. Jonathan McFadden & Francesca Casalini & Jesús Antón, 2022. "Policies to bolster trust in agricultural digitalisation: Issues note," OECD Food, Agriculture and Fisheries Papers 175, OECD Publishing.
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    Cited by:

    1. Honorata Sierocka & Maciej Zajkowski & Grzegorz Hołdyński & Zbigniew Sołjan, 2023. "Characteristics of Electricity Consumption on the Example of Poultry Farming in Poland," Energies, MDPI, vol. 16(1), pages 1-17, January.
    2. Yiting Yin & Ailin Diao & Ziyi Li & Qi Wang & Shuguang Liu, 2023. "Design of an Automatic Ground Cleaning Machine for Dedusting Rooms of Chicken Houses," Agriculture, MDPI, vol. 13(6), pages 1-22, June.
    3. Hongyun Hao & Peng Fang & Enze Duan & Zhichen Yang & Liangju Wang & Hongying Wang, 2022. "A Dead Broiler Inspection System for Large-Scale Breeding Farms Based on Deep Learning," Agriculture, MDPI, vol. 12(8), pages 1-16, August.

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