Obiettivo
Dairy farming is facing major challenges regarding a sustainable and cost-efficient growth. Total world milk production is estimated to grow from 819 million ton in 2014 to 1059 million ton in 2025. Key EU and global issues are the need for improved animal health as a precondition for higher productivity and environmental sustainability and new governmental regulations regarding food safety and traceability. Resource efficiency is an important topic regarding the use of limited land and feedstuff in order to reduce the environmental footprint of dairy farming and to help farmers optimize costs and increase average milk yield. The traditional structure of dairy farms is increasingly transformed into modern milk production farms. In this complex setting smaXtec is offering a solution for the herd management regarding the automated monitoring of animal health, breeding and optimal feeding. Based on the unique cross cutting know-how of the physiology and nutrition needs of cows on one hand and ICT technologies as sensors, wireless communication, software programming and artificial intelligence on the other hand, an integrated system has been developed. The overall objective of the innovation project is to optimize and commercialise a real time Decision Support Tool for a proactive healthcare management of cows. The aim is to assist the user by giving automatically generated clear advice on further actions “Calls for Actions”. Due to the immediate realization of benefits an ROI can be achieved within a few months. An increase in feed efficiency, improved fertility, increased longevity and savings on veterinarian treatment costs is estimated to lead to an average overall increase of yearly profit of 11%. smaXtec is specifically addressing the worldwide market segment for dairy herd management tools with an expected market volume of $1,5 billion by 2018 and a CAGR of 13%. Europe will have one of the highest adoption rates for these products.
Campo scientifico
CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP.
CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP.
- agricultural sciencesanimal and dairy sciencedairy
- social sciencessociologydemographyfertility
- social scienceseconomics and businesseconomicsproduction economicsproductivity
- engineering and technologyother engineering and technologiesfood technologyfood safety
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
Programma(i)
- H2020-EU.3.2. - SOCIETAL CHALLENGES - Food security, sustainable agriculture and forestry, marine, maritime and inland water research, and the bioeconomy Main Programme
- H2020-EU.3.2.4. - Sustainable and competitive bio-based industries and supporting the development of a European bioeconomy
- H2020-EU.3.2.1. - Sustainable agriculture and forestry
- H2020-EU.2.3.1. - Mainstreaming SME support, especially through a dedicated instrument
- H2020-EU.3.2.2. - Sustainable and competitive agri-food sector for a safe and healthy diet
Invito a presentare proposte
Vedi altri progetti per questo bandoBando secondario
H2020-SMEINST-2-2016-2017
Meccanismo di finanziamento
SME-2 - SME instrument phase 2Coordinatore
8010 GRAZ
Austria
L’organizzazione si è definita una PMI (piccola e media impresa) al momento della firma dell’accordo di sovvenzione.