The APP re Project aims to boost data-driven innovation in extensive livestock farming in Sardinia, enhancing sustainability, productivity, and animal welfare. The core achievement is a digital platform integrating farm, sensor, and external data to provide insights for management and decision-making. By involving farmers and veterinarians, APP re fosters innovation adoption, bridging the gap between traditional practices and smart farming solutions.

APPàre: smart and secure livestock farm APPlications to boost data-driven innovation along the food chain / Fanni, Tiziana; Sini, Matteo; Deiana, Nicoletta; Zedda, Maria Katiuscia; Macis, Silvia; Martini, Francesco; Mattu, Andrea; Spezzigu, Antonio; Fois, Davide; Berlinguer, Fiammetta; Masala, Pietro; Bazzardi, Riccardo; Ligios, Ciriaco. - 2:(2025), pp. 170-176. ( 22nd ACM International Conference on Computing Frontiers 2025, CF 2025 ita 2025) [10.1145/3706594.3727581].

APPàre: smart and secure livestock farm APPlications to boost data-driven innovation along the food chain

Fanni, Tiziana
;
Sini, Matteo;Mattu, Andrea;Spezzigu, Antonio;Fois, Davide;Berlinguer, Fiammetta;Masala, Pietro;Ligios, Ciriaco
2025-01-01

Abstract

The APP re Project aims to boost data-driven innovation in extensive livestock farming in Sardinia, enhancing sustainability, productivity, and animal welfare. The core achievement is a digital platform integrating farm, sensor, and external data to provide insights for management and decision-making. By involving farmers and veterinarians, APP re fosters innovation adoption, bridging the gap between traditional practices and smart farming solutions.
2025
APPàre: smart and secure livestock farm APPlications to boost data-driven innovation along the food chain / Fanni, Tiziana; Sini, Matteo; Deiana, Nicoletta; Zedda, Maria Katiuscia; Macis, Silvia; Martini, Francesco; Mattu, Andrea; Spezzigu, Antonio; Fois, Davide; Berlinguer, Fiammetta; Masala, Pietro; Bazzardi, Riccardo; Ligios, Ciriaco. - 2:(2025), pp. 170-176. ( 22nd ACM International Conference on Computing Frontiers 2025, CF 2025 ita 2025) [10.1145/3706594.3727581].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11388/377411
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