Project No: 14302

Project dates:
1 Mar 2013 - 29 Feb 2016

Coordinator:
Claus Sørensen, Aarhus University (Denmark)

Collaborating Institutions:

Thomas Bartzanas, Agricultural University of Athens (Greece)

Nicholas holden, University College Dublin (Ireland)

Annelies Van Nuffel, Institute for Agricultural and Fisheries Research (ILVO) (Belgium)

Kristof Mertens, Porphyrio NV (Belgium)

Mikko Jarvinen, MTT Agrifood Research Finland (Finland)

Ole Green, Agro Intelligence ApS (Denmark)

Links:
Smart Integrated Livestock...
Full report

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In this project we will develop an evaluation platform that demonstrates through research the potential for an Internet of Things (IoT) enabled FMIS with animal-centric ICT, production databases & best practice standards to assist farmers optimise sustainable livestock production. In this respect SILF will take an integrated approach to solving issues with environmental impact and animal welfare during livestock production. Previously developed smart farming sensing systems for lameness detection in dairy production will be robustified, validated and evaluated against other available systems in different member states. The commercial/environmental benefit of these systems alongwith 'object-connected ICT' will be realised through specific business-models and lifecycle costing for farming.

Available databases of relevance for development of an IoT data management platform for livestock farming were identified through a survey in the five partner countries. Experiments with accelerometers were carried out identifying parameters and classifiers of lameness. A list of key environmental indicators was identified. The indicators include categories within energy,
nutrient use, soil/land issues, biodiversity, water, carbon footprint and economy. The indicators form the basis for a farm based LCA where economic drivers are integrated. System analysis has been performed by indicating the identified stakeholders. A web representing the mutual relations between different actors.were developed and prepared for continous updating. of economic consequences of lameness.

Available databases with data on animal health form the basis for farmers and advisors to compare and benchmark different production systems and methods in terms of sustainability. including indicators iwithin energy, nutrient use, soil/land issues, biodiversity, water, carbon footprint and economy. Specifically, guidelines for the use of accelerometers for lameness dectection was outlined. Based on the results, Good Dairy Farming Practises were developed within animal health, milk hygiene, feeding, animal welfare, environmental impact, and socio-economic benefits as guildelines for adviosrs and farmers. Also, thse results are useable for researchers in their pursuit of further design and implementat of information management systems in precision livestock system.