Aggregate Farming in the Cloud

Project no. ECSEL JU 783221
Category PROJEKTY MEZINÁRODNÍ / INTERNATIONAL PROJECTS
ProviderEuropean Union
Description

Farming is facing many economic challenges in terms of productivity and cost-effectiveness, as well as an increasing labour shortage partly due to depopulation of rural areas. Reliable detection, accurate identification and proper quantification of pathogens affecting both plant and animal health, must be kept under control to reduce unnecessary costs, trade disruptions and even human health risks.

AFarCloud addresses the urgent need for a holistic and systematic approach. It will provide a distributed platform for autonomous farming, which will allow the integration and cooperation of Cyber Physical Systems in real-time for increased agriculture efficiency, productivity, animal health, food quality and reduced farm labour costs. This platform will be integrated with farm management software and will support monitoring and decision-making, based on big data and real time data mining techniques.

AFarCloud also aims to make farming robots accessible to more users by enabling farming vehicles to work in a cooperative mesh, opening up new applications and ensuring re-usability, as various standard vehicles can combine their capabilities in order to boost farming efficiency.
The achievements from AFarCloud will be showcased in early laboratory trials and holistic demonstrators, including cropping and livestock management scenarios. Local demonstrators will test specific functionalities and validate project results in relevant environments located in different European regions.

AFarCloud outcomes will strengthen partners’ market position, boosting their innovation capacity and addressing industrial needs both at EU and international levels. The consortium represents the whole ICT-based farming solutions’ value chain, including all key actors needed for the development, demonstration and future market uptake of the precision farming framework targeted in the project.

Period2018 - 2021
Databse link (CZ)

TitleYear
JANČÍK, Filip, HOMOLKA, Petr, KOUKOLOVÁ, Veronika, KUMPRECHTOVÁ, Dana, LOUČKA, Radko and KUBELKOVÁ, Petra. Proceedings of the workshop:: The results of projects named „Long-term Conceptual Development of Research Institution“, „Native Protein Crops in Livestock Nutrition“ and „Aggregate Farming in the Cloud“.. Praha Uhříněves: Výzkumný ústav živočišné výroby, v. v. i., 2021, 44 p. ISBN 978-80-7403-271-4 2021
JANČÍK, Filip, KUBELKOVÁ, Petra, LOUČKA, Radko, KOUKOLOVÁ, Veronika, KUMPRECHTOVÁ, Dana a HOMOLKA, Petr., 2021 Workshop: The results of projects named „Long-term Conceptual Development of Research Institution“, „Native Protein Crops in Livestock Nutrition“ and „Aggregate Farming in the Cloud“.. In Uspořádání workshopu. Praha Uhříněves: Výzkumný ústav živočišné výroby, v. v. i., s. . ISSN 2021
KOUKOLOVÁ, Veronika, JANČÍK, Filip, VÝBORNÁ, Alena, KUMPRECHTOVÁ, Dana, KUBELKOVÁ, Petra, HOMOLKA. Petr a PŘENOSILOVÁ, Věra., 2021 Modern methods of dairy cows nutrition. In Audiovizuální tvorba. Praha Uhříněves: Výzkumný ústav živočišné výroby v.v.i., s. . ISSN https://vuzv.cz/2021/01/28/moderni-metody-vyzivy-dojnic/ 2021
JANČÍK, Filip, KUBELKOVÁ, Petra, LOUČKA, Radko, KOUKOLOVÁ, Veronika, HOMOLKA, Petr, KUMPRECHTOVÁ, Dana, TYROLOVÁ, Yvona and VÝBORNÁ, Alena. Monitoring of the faeces quality as an indicator of the health of the rumen of dairy cows. Náš chov, 2021, vol. 81(9), p. 14-16. ISSN 0027-8068. 2021
KOUKOLOVÁ, Veronika, JANČÍK, Filip, VÝBORNÁ, Alena, KUMPRECHTOVÁ, Dana, KUBELKOVÁ, Petra, HOMOLKA, Petr a PŘENOSILOVÁ, Věra., 2020 Achieved knowledge of research project AFarCloud. In Uspořádání workshopu. on line MS Teams, Praha Uhříněves: Výzkumný ústasv živočišné výroby v.v.i., s. . ISSN 2020

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