FarmSustainaBl

FarmSustainaBl is a 3-year ERA-NET project within the ERA-GAS / ICT-AGRI / SusAn joint call which started on 1 Oct. 2019

FarmSustainaBl is a 3-year ERA-NET project within the ERA-GAS / ICT-AGRI / SusAn joint call which started on 1 Oct. 2019

Project title: Enabling Smart Livestock Farming Technologies for Environmental Sustainability using Blockchain

Acronym: FarmSustainaBl

Project’s identification number: 118 ⁄ 2019

Project leader: Dr. Alexandru Vulpe (BEAM Innovation SRL)

Project financed by UEFISCDI through the European and International Cooperation Program

Act 1.1 – Requirements analysis – A2(A) Industrial research in effective collaboration or dissemination of results

Act 2.1 – State of the art – A2 (A) – Industrial research in effective collaboration or dissemination of results

Act 2.2 – Use cases and business cases – A2 (A) – Industrial research in effective collaboration or dissemination of results

Act 3.1 – Defining the architecture and functional specifications – A2 (A) – Industrial research in effective collaboration or with the dissemination of results

Act 3.2 – Methods and tools for data analysis in precision agriculture – A2 (A) – Industrial research in effective collaboration or dissemination of results

Act 4.1 – Protocols for data transmission from sensors – A2 (A) – Industrial research in effective collaboration or dissemination of results

Act 4.2 – Definition of the blockchain system architecture – A2 (A) – Industrial research in effective collaboration or dissemination of results

Act 4.3 – Initialization of the environment of continuous integration – A2 (A) – Industrial research in effective collaboration or with the dissemination of results

Act 5.1 – Defining the validation of evaluation criteria – A2 (A) – Industrial research in effective collaboration or dissemination of results

Act 5.2 – Testing and evaluation of system components – A3 (A) – Experimental development in effective collaboration or dissemination of results

Act 6.1 – System integration – A3 (A) – Experimental development in effective collaboration or dissemination of results

Act 6.2 – Testing the integrated system – A3 (A) – Experimental development in effective collaboration or dissemination of results

Act 6.3 – Installation of the system at the beneficiary – A3 (A) – Experimental development in effective collaboration or dissemination of results

Act 6.4 – Piloting the system –  A3 (A) – Experimental development in effective collaboration or dissemination of results

Act 6.5 – Dissemination – D – Support activities (Dissemination; Participation in technical-scientific events; Participation in courses; Organization of courses; Working visits)

The main objective of the project is to apply a holistic approach for decreasing the GHG emissions derived from intensive livestock farming by optimizing the livestock production. For doing this, the consortium will monitor the animal feed, the animal behaviour and characteristics and the stable environment. Specifically, IoT devices will be installed in the farm for monitoring key parameters of
i) the stable environment (temperature, humidity, gas sensors (NOx, COx, CH4, NH3, etc.),
ii) the animal (accelerometer, motion sensor, weight sensor, etc.) and
iii) the feed (flow sensor, weight sensor, humidity sensor etc.).

A web based platform will be developed that will collect and analyse all the aforementioned data for providing recommendations to the livestock farming stakeholders (farmers, consultants etc) in order to take management decisions for reducing GHG emissions. In addition, BlockChain Technology (BCT) will be used in the platform for developing different features such as data protection, data privacy, data sharing, traceability and smart contracts among the livestock farming stakeholders. Specifically, the smart contracts feature of the platform will help livestock farming stakeholders to have contracts with better prices due to decreased GHG emissions.

Publications

C. -A. Tănase, A. Vulpe, Indoor Location Monitoring and Navigation System for Hospitals, 2022 14th International Conference on Communications (COMM), 2022, pp. 1-6, doi: 10.1109/ COMM54429.2022.9817356

Belkadi, O.; Vulpe, A.; Laaziz, Y.; Halunga, S.,ML-based Traffic Classification in an SDN-enabled Cloud environment. Sensors. 2021 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom), 2021, pp. 1-5, doi: 10.1109/ BlackSeaCom52164.2021.9527861

P. Niloofar, D. P. Francis, S. Lazarova-Molnar, A. Vulpe, M.C. Vochin, G. Suciu, M. Balanescu, V. Anestis, T. Bartzanas, Data-Driven Decision Support in Precision Livestock Farming: Overview of Existing Practices and Approaches, Computers and Electronics in Agriculture, 190:106406, ISSN 0168-1699, 2021, DOI: 10.1016/j.compag.2021.106406,  Accession Number WOS:000704414600001

Popa Razvan Alexandru, Popa Dana Catalina, Gheorghe Emil Mărginean, Suciu George, Bălănescu Mihaela, Paștea Denisa, Vulpe Alexandru, Marius Vochin, Ana-Maria Drăgulinescu, “Hybrid platform for assessing air pollutants released from animal husbandry activities for sustainable livestock agriculture.” Sustainability. 13(17), 9633, 2021, DOI: 10.3390/su13179633

Parisa Niloofar, Deena P. Francis, Sanja Lazarova-Molnar, Alexandru Vulpe, Marius-Constantin Vochin, George Suciu, Mihaela Balanescu, Vasileios Anestis, Thomas Bartzanas, “Data-Driven Decision Support in Livestock Farming for Improved Animal Health, Welfare and Greenhouse Gas Emissions: Overview and Challenges.” Computers and Electronics in Agriculture, 190:106406, ISSN 0168-1699, 2021, DOI: 10.1016/j.compag.2021.106406

A. Vulpe, I. Girla, R. Craciunescu and M. G. Berceanu, “Machine Learning based Software-Defined Networking Traffic Classification System,” 2021 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom), 2021, pp. 1-5, doi: 10.1109/BlackSeaCom52164.2021.9527861.

Pastea D. Draghici D., Suciu G.; Balanescu M.; Iordache G:, Vintila A.; Vulpe A.; Vochin M.; Dragulinescu A.; Popa D., (2021) Decision Support Platform for Intelligent and Sustainable Farming. In: Rocha Á., Adeli H., Dzemyda G., Moreira F., Ramalho Correia A.M. (eds) Trends and Applications in Information Systems and Technologies. WorldCIST 2021. Advances in Intelligent Systems and Computing, vol 1368. Springer, Cham. DOI:10.1007/978-3-030-72654-6_39
A. Vulpe, M. Idu, D. Gheorghe, A. Martian, O. Fratu, ML-based Analytics Framework for beyond 5G Mobile Communication Systems. 2020 28th Telecommunications Forum (TELFOR), Belgrade, Serbia, 2020, pp. 1-4, ISBN: 978-0-7381-4243-2
I. Marcu, G. Suciu, C. Bălăceanu, A. Vulpe, and A.-M. Drăgulinescu, “Arrowhead Technology for Digitalization and Automation Solution: Smart Cities and Smart Agriculture,” Sensors, vol. 20, no. 5, p. 1464, Mar. 2020, DOI: 10.3390/s20051464
S. G. Obreja and A. Vulpe, “Evaluation of an Indoor Localization Solution Based on Bluetooth Low Energy Beacons,” 2020 13th International Conference on Communications (COMM), Bucharest, Romania, 2020, pp. 227-231, doi: 10.1109/COMM48946.2020.9141987.
P. Niloofar, S. Lazarova-Molnar, A. Vulpe, G. Suciu, M. Bălănescu, “Modeling and Simulation for Decision Support in Precision Livestock Farming”, 2020 Winter Simulation Conference, Florida, US, 2020, ISBN: 978-1-7281-9499-8
O. Belkadi, Y. Laaziz, A. Vulpe and S. Halunga, “OpenDaylight and OpenNebula Integration: testing traffic management,” The TELFOR Journal, vol. 12(2), pp. 74-79, ISSN 2334-9905
Balanescu M., Badicu A., Suciu G., Poenaru C., Pasat A., Vulpe A. and Vochin M., “Decision support platform for intelligent and sustainable farming,” 2020 IEEE 26th International Symposium for Design and Technology in Electronic Packaging (SIITME), 2020, pp. 89-93, doi: 10.1109/SIITME50350.2020.9292196.