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May the Extensive Farming System of Small Ruminants Be Smart?

Author

Listed:
  • Rosanna Paolino

    (Department of Agricultural, Forest, Food, and Environmental Sciences, University of Basilicata, 85100 Potenza, Italy)

  • Adriana Di Trana

    (Department of Agricultural, Forest, Food, and Environmental Sciences, University of Basilicata, 85100 Potenza, Italy)

  • Adele Coppola

    (Department of Agricultural, Forest, Food, and Environmental Sciences, University of Basilicata, 85100 Potenza, Italy)

  • Emilio Sabia

    (Department of Agricultural, Forest, Food, and Environmental Sciences, University of Basilicata, 85100 Potenza, Italy)

  • Amelia Maria Riviezzi

    (Department of Agricultural, Forest, Food, and Environmental Sciences, University of Basilicata, 85100 Potenza, Italy)

  • Luca Vignozzi

    (Department of Agricultural, Forest, Food, and Environmental Sciences, University of Basilicata, 85100 Potenza, Italy)

  • Salvatore Claps

    (Council for Agricultural Research and Economics, 85051 Bella-Muro, Italy)

  • Pasquale Caparra

    (Department of Agriculture, Animal Production, University of Reggio Calabria, 89124 Reggio Calabria, Italy)

  • Corrado Pacelli

    (Department of Agricultural, Forest, Food, and Environmental Sciences, University of Basilicata, 85100 Potenza, Italy)

  • Ada Braghieri

    (Department of Agricultural, Forest, Food, and Environmental Sciences, University of Basilicata, 85100 Potenza, Italy)

Abstract

Precision Livestock Farming (PLF) applies a complex of sensor technology, algorithms, and multiple tools for individual, real-time livestock monitoring. In intensive livestock systems, PLF is now quite widespread, allowing for the optimisation of management, thanks to the early recognition of diseases and the possibility of monitoring animals’ feeding and reproductive behaviour, with an overall improvement of their welfare. Similarly, PLF systems represent an opportunity to improve the profitability and sustainability of extensive farming systems, including those of small ruminants, rationalising the use of pastures by avoiding overgrazing and controlling animals. Despite the livestock distribution in several parts of the world, the low profit and the relatively high cost of the devices cause delays in implementing PLF systems in small ruminants compared to those in dairy cows. Applying these tools to animals in extensive systems requires customisation compared to their use in intensive systems. In many cases, the unit prices of sensors for small ruminants are higher than those developed for large animals due to miniaturisation and higher production costs associated with lower production numbers. Sheep and goat farms are often in mountainous and remote areas with poor technological infrastructure and ineffective electricity, telephone, and internet services. Moreover, small ruminant farming is usually associated with advanced age in farmers, contributing to poor local initiatives and delays in PLF implementation. A targeted literature analysis was carried out to identify technologies already applied or at an advanced stage of development for the management of grazing animals, particularly sheep and goats, and their effects on nutrition, production, and animal welfare. The current technological developments include wearable, non-wearable, and network technologies. The review of the technologies involved and the main fields of application can help identify the most suitable systems for managing grazing sheep and goats and contribute to selecting more sustainable and efficient solutions in line with current environmental and welfare concerns.

Suggested Citation

  • Rosanna Paolino & Adriana Di Trana & Adele Coppola & Emilio Sabia & Amelia Maria Riviezzi & Luca Vignozzi & Salvatore Claps & Pasquale Caparra & Corrado Pacelli & Ada Braghieri, 2025. "May the Extensive Farming System of Small Ruminants Be Smart?," Agriculture, MDPI, vol. 15(9), pages 1-18, April.
  • Handle: RePEc:gam:jagris:v:15:y:2025:i:9:p:929-:d:1641437
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    References listed on IDEAS

    as
    1. Christos Tzanidakis & Ouranios Tzamaloukas & Panagiotis Simitzis & Panagiotis Panagakis, 2023. "Precision Livestock Farming Applications (PLF) for Grazing Animals," Agriculture, MDPI, vol. 13(2), pages 1-23, January.
    2. Katarzyna Olejnik & Ewa Popiela & Sebastian Opaliński, 2022. "Emerging Precision Management Methods in Poultry Sector," Agriculture, MDPI, vol. 12(5), pages 1-18, May.
    3. Georgios I. Papakonstantinou & Nikolaos Voulgarakis & Georgia Terzidou & Lampros Fotos & Elisavet Giamouri & Vasileios G. Papatsiros, 2024. "Precision Livestock Farming Technology: Applications and Challenges of Animal Welfare and Climate Change," Agriculture, MDPI, vol. 14(4), pages 1-17, April.
    4. Keni Ren & Johannes Karlsson & Markus Liuska & Markku Hartikainen & Inger Hansen & Grete HM Jørgensen, 2020. "A sensor-fusion-system for tracking sheep location and behaviour," International Journal of Distributed Sensor Networks, , vol. 16(5), pages 15501477209, May.
    5. Gang Liu & Hao Guo & Alexey Ruchay & Andrea Pezzuolo, 2023. "Recent Advancements in Precision Livestock Farming," Agriculture, MDPI, vol. 13(9), pages 1-3, August.
    6. Rieple, Alison & Snijders, Sylvia, 2018. "The role of emotions in the choice to adopt, or resist, innovations by Irish dairy farmers," Journal of Business Research, Elsevier, vol. 85(C), pages 23-31.
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