Impact of climate change on agriculture and livestock
Development of regional, sustainable adaptation strategies for dairy cow husbandry in order to face temperature rise and increased climate variability.
Brings together the excellence of research in modelling grasslands, livestock, crops, farms, and agricultural trade in order to improve the modelling of climate change impacts on European agriculture and in order to illustrate to political decision makers how climate will affect regional farming systems and food production in Europe.
Mitigation of environmental impact from livestock and sustainability assessment
Aims to enhance international discipline cooperation for exchanging ideas and knowledge, sharing good practices, assess technologies that could result in reducing the emissions of GHGs and ammonia from livestock buildings and thus to lead to a more environmentally friendly and sustainable livestock production.
Decreasing the environmental risk of using organic fertilisers by removing the heavy metals from it by electro-remediation using DC voltage.
The French National database for agricultural products’ life cycle inventories.
The French National life cycle inventory database for animal feedstuffs.
Reduction of cow-milk carbon footprint in French dairy cattle farms.
Reduction of beef meat carbon footprint in French beef cattle farms.
Evaluation of the productivity, resource-use efficiency and consumers’ acceptability of a transition to high forage and pasture diets for European cattle.
Co-definition and evaluation of sustainable beef farming systems based on resources non edible by humans.
Assessment of the trade-offs between the different aspects of sustainability at all levels from the farm, to the region and to the EU.
Refinement of on-farm lactic acid bacteria (LAB) technologies such as feed supplements and/or silage inoculants, currently used to increase production and improve health of ruminant animals, with a methane-reducing benefit.
Aims to build on the Global Research Alliance DATAMAN project by collating additional data on emissions from manure management and activity / ancillary data. The data will be used to generate functional relationships between emissions and activity/ancillary variables, enabling a refinement of national inventories and better assessment of the cost-effectiveness of a range of mitigation measures.
Precision (Livestock) Farming
Deals with the acceleration of adoption of IoT for securing sufficient, safe and healthy food and to strengthen competitiveness of farming and food chains in Europe.
Dealt with optimizing performance and welfare of fattening pigs using High Frequent Radio Frequency Identification and synergistic control on individual level.
Focuses on developing a network for dairy farmers, dairy sensor technology suppliers, data companies, agricultural advisors and researchers, to explore ways to use data generated by dairy sensors to support improved decision making by dairy farmers.
Aims to create added value from the exchange of knowledge, actors, farmers and technical content between networks in order to boost innovation uptake and to improve peer to peer learning and network connectivity between farming actors across Europe.
Brought together an international and interdisciplinary group of research teams from Europe, USA & Korea and relative SMEs for the purpose of forming an excellent centre of synergy in research, innovation and technology transfer in the area of agriculture production in greenhouse and livestock buildings aiming to remove the barriers that presently impede a fluent diffusion and actualization of the knowledge and know-how available in the field of new technologies applied to the CEA sector.
Creation of a technology platform that integrates and harmonizes existing software and hardware technologies into a single system and makes use of robots equipped with sensors and active vision systems to automatically collect data from the field, feeding a farm management DSS and considering the agronomical, environmental and food safety aspects.
Demonstrated the benefits of integrating different information streams for supporting efficient dairy production. It also developed know-how on user requirements for practical lameness detection system development through real-farm application, validation and robustification and evaluation of these systems in Belgium, Denmark, Finland and Ireland.
Coordination and support of the setting up of sustainable network for developing a system for common data exchange in agriculture.
Economic, sound free walk cattle farming systems elevating animal welfare, health and manure quality, while being appreciated by society.