Dairy cow farming is one of the most important European livestock production systems and animal welfare is a key for its sustainability. PLF technology enables farmers to monitor animals automatically and offers a realtime managing system. Through the adoption of electronic data collection, processing and application, PLF differs from other approaches that monitor on-farm dairy welfare by human experts scoring animal-based indicators. PLF technology allows to measure different parameters in dairy farming; wearable and environmental sensors allow to assess indicators for animal welfare such as rumination, activity, feed intake. The current challenge of the use of PLF is to integrate these data into relevant information about animal welfare, in order to return a single output to the farmer. ClearFarm aims at developing a platform integrating welfare indicators from automatic recording technologies to provide a single outcome of animal welfare through a blockchain approach. ClearFarm project is structured in 8 interrelated Work Packages (WP),WP3 will validate data from sensor technology as welfare indicators in dairy cattle systems via the development of a novel algorithm, which will be tested on 8 different farms (organic and intensive) in 4 different European countries. The outcome of selected welfare indicators monitored using PLF technologies will be then compared with alternative assessment methods. These results will help in advancing the understanding of dairy welfare on-farm, potentially assisting farmers to optimise production and inform consumers about the welfare background of animal products.

The use of precision livestock farming (PLF) technology to monitor and improve welfare of dairy cows / G. Berteselli, E. Dalla Costa, P. Llonch, X. Manteca, A. Stygar, J. Niemi, M. Pastell, R. Wijma, S.P. Van Gosliga, A. Baxter, I. Arbel, E. Canali. ((Intervento presentato al 71. convegno Annual Meeting of the European Federation of Animal Science tenutosi a online nel 2020.

The use of precision livestock farming (PLF) technology to monitor and improve welfare of dairy cows

G. Berteselli
;
E. Dalla Costa;E. Canali
2020

Abstract

Dairy cow farming is one of the most important European livestock production systems and animal welfare is a key for its sustainability. PLF technology enables farmers to monitor animals automatically and offers a realtime managing system. Through the adoption of electronic data collection, processing and application, PLF differs from other approaches that monitor on-farm dairy welfare by human experts scoring animal-based indicators. PLF technology allows to measure different parameters in dairy farming; wearable and environmental sensors allow to assess indicators for animal welfare such as rumination, activity, feed intake. The current challenge of the use of PLF is to integrate these data into relevant information about animal welfare, in order to return a single output to the farmer. ClearFarm aims at developing a platform integrating welfare indicators from automatic recording technologies to provide a single outcome of animal welfare through a blockchain approach. ClearFarm project is structured in 8 interrelated Work Packages (WP),WP3 will validate data from sensor technology as welfare indicators in dairy cattle systems via the development of a novel algorithm, which will be tested on 8 different farms (organic and intensive) in 4 different European countries. The outcome of selected welfare indicators monitored using PLF technologies will be then compared with alternative assessment methods. These results will help in advancing the understanding of dairy welfare on-farm, potentially assisting farmers to optimise production and inform consumers about the welfare background of animal products.
2-dic-2020
Settore AGR/19 - Zootecnica Speciale
European Federation of Animal Science
The use of precision livestock farming (PLF) technology to monitor and improve welfare of dairy cows / G. Berteselli, E. Dalla Costa, P. Llonch, X. Manteca, A. Stygar, J. Niemi, M. Pastell, R. Wijma, S.P. Van Gosliga, A. Baxter, I. Arbel, E. Canali. ((Intervento presentato al 71. convegno Annual Meeting of the European Federation of Animal Science tenutosi a online nel 2020.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/796607
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