Project title: Enabling Smart Livestock Farming Technologies for Environmental Sustainability using Blockchain
Project’s identification number: 119 ⁄ 2019
Project leader: Ec.Dr.Ing. George SUCIU (BEIA Consult International)
Project financed by UEFISCDI through the European and International Cooperation Program
Phase 1 – Requirements analysis – Research report on functional and non-functional requirements. 31/12/2019
Act 1.1 – Requirements analysis – A2(A) Industrial research in effective collaboration or dissemination of results
Phase 2 – State of the art and use cases – Research report on the current state of knowledge and use cases – 30/06/2020
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
Following the research activity within the second phase of the FarmSustainaBl project called “Current state of knowledge and use cases”, the analysis of how blockchain technology can be used in the agri-food industry was analyzed. The general approach to the management of GHG emissions at farm level was also established, the specific use case of BEIA was defined and a preliminary algorithm for calculating these emissions was structured.
The report is complemented by an analysis of how the project results can be transferred to the market and the most appropriate business models. Thus, the exploitable results were defined, the competitive advantages of the FarmSustainBL solution were identified and the target market and its potential were analyzed. The analysis is completed by identifying marketing strategies, pricing and distribution channels.
The results of the project were disseminated in national and international conferences / events and in scientific publications (1 article accepted in an international conference and 2 articles being evaluated).
Phase 3 – Architectures, methods and tools – Research report on architecture, functional specifications and tools needed for data analysis – 31/12/2020
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
During the third phase of the FarmSustainaBl project called “Architectures, methods and tools” the functional specifications of the system were made, a system architecture was proposed and the existing methods and tools for data analysis in precision agriculture were analyzed.
Also during this phase you studied various methods for data analysis in precision agriculture. Following the study, a variety of methods that can be used in the development and implementation of the solution proposed by the FarmSustainaBl system were highlighted. Also, over 20 computer data analysis programs were analyzed, Grafana being cataloged the most useful in the cases of use of Romanian partners. The results of the project were disseminated in national and international conferences / events and in scientific publications (2 articles being published in the volume of an ISI and IEEE indexed conference, 1 article being evaluated in an ISI-listed journal).
Phase 4 – Defining the platform – Research report on protocols, blockchain architecture and integration environment 30/06/2021
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
Phase 5 – Evaluation and validation – Test and validation report of the components – 31/12/2021
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
Phase 6 – Integration, piloting and dissemination – Report on system integration and piloting, and dissemination of project results – 30/09/2022
Act 6.1 – System integration – A3 (A) – Experimental development in effective collaboration or dissemination of results
Act 6.2 – System piloting – A3 (A) – Experimental development in effective collaboration or dissemination of results
Act 6.3 – Dissemination – D – Support activities (Dissemination; Participation in technical-scientific events; Participation in courses; Organization of courses; Working visits)
Act 6.4 – Patent – B1 – Innovation activities – patent protection
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.
- Knowledge4Innovation Forum – 3-5 February 2020 at the European Parliament in Brussels;
- Debate on air quality monitoring networks in Romania – 13th February 2020 at the Ministry of Environment, Waters and Forests in Bucharest;
- CCW – 2-5 March in Berlin, Germany;
- HorizonEU event – 3rd March 2020 in Bucharest, Romania;
- Civic Labs – 3rd March 2020 in Bucharest, Romania;
- Ministry of Environment, Waters and Forests Meeting – March 10, 2020 at the headquarters of the Ministry of Environment, Waters and Forests.
- P. Niloofar, D. P. Francis, S. Lazarova-Molnar, A. Vulpe, G. Suciu, M. Balanescu, Modeling and Simulation For Decision Support In Precision Livestock Farming, paper accepted at the Winter Simulation Conference on 13-16 December in Orlando, Florida, USA.
- M. Balanescu, A. Badicu, G. Suciu, A. Vulpe, C. Poenaru, A. Pasat, Decision support platform for intelligent and sustainable farming, to be evaluated for the IEEE 26th International Symposium for Design and Technology in Electronic Packaging (SIITME), 21-24 October 2020.
- M. Dobrea, A. Bădicu, M. Barbu, O. Șubea, M. Bălănescu, G. Suciu, C. Dobre, A. Bîrdici, O. Orza, Machine Learning algorithms for air pollutants forecasting, to be evaluated for the IEEE 26th International Symposium for Design and Technology in Electronic Packaging (SIITME), 21-24 October 2020.
The total value of the contract: 658.861,00 lei / 139.000,00 Euro Project start date: 01/10/2019 Project end date: 30/09/2022 Duration: 36 luni Consortium:
- Agricultural and Environmental Solutions – AGENSO – Greece (Coordinator)
- BEAM INNOVATION – BEAM – Romania
- University of Southern Denmark – SDU – Denmark
- BEIA Consult International – BEIA – Romania
- Agricultural University of Athens – AUA – Greece
“This work was supported by a grant of the Romanian National Authority for Scientific Research and Innovation, CCCDI – UEFISCDI, project number ERANET-ERAGAS-ICT-AGRI3-FarmSusteinaBl-2, within PNCDI III”.