
Wisefour Innovation and Development Organisation Ltd
Wisefour Innovation and Development Organisation Ltd
2 Projects, page 1 of 1
Open Access Mandate for Publications and Research data assignment_turned_in Project2022 - 2025Partners:RMS 001 DOO, University of Zagreb, Faculty of Agriculture, FINS, FEDERBIO SERVIZI SRL, UNIZG +22 partnersRMS 001 DOO,University of Zagreb, Faculty of Agriculture,FINS,FEDERBIO SERVIZI SRL,UNIZG,Biotechnicon,ASINCAR,University of Novi Sad,MENA GROUP,UDRUGA PROIZVODACA LICKOG KRUMPIRA,UNIBO,Wisefour Innovation and Development Organisation Ltd,INTRASOFT International,University Of Thessaly,ALCE NERO SPA,MIGROS TICARET ANONIM SIRKETI,BIOCOS,LGL,CONSEJO REGULADOR INDICACION GEOGRAFICA PROTEGIDA FABA ASTURIANA,CONSEJERIA DE MEDIO RURAL Y COHESION TERRITORIAL DEL PRINCIPADO DE ASTURIAS,CISL,European Food Information Resource,ASSOCIATION OF PRODUCERS OF PRODUCTS WITH GEOGRAPHICAL INDICATION OF SERBIA ORIGINAL SRBIJA,THE LISBON COUNCIL,CIHEAM IAMM,Mασούτης,OLYMPOSFunder: European Commission Project Code: 101084188Overall Budget: 4,408,550 EURFunder Contribution: 3,843,570 EURALLIANCE represents a paradigm shift in the Food Supply Chain Systems’ management for the combat against Food Fraud, distinguishing from the traditionally approaches that leverage monolithic digitalized logistic solutions and standalone FSC interoperability protocols. ALLIANCE aims to provide a holistic framework that safeguards data integrity and veracity, enhances traceability and transparency and reinforces interoperability in quality labelled supply chain of organic, PDO, PGI, and GI food, through innovative technology solutions and validated approaches (such as distributed ledger technologies supported by IoT sensing devices, providing extensible anchors to interoperability protocols and use of in-situ portable rapid testing devices to detect adulteration and verify food origin and authenticity) and fosters evidence-based decision making through AI and ML for preventative interventions and actionable planning. The proposed framework will improve social and economic sustainability of quality labelled food supply chains by ensuring quality & authenticity, increasing food safety, while also considering climatic and environmental impacts of food products. The technologies to be employed in this project will be described and demonstrated in detail to reach higher technology readiness levels (TRLs) and enable smooth and rapid adoption by all stakeholders.
more_vert Open Access Mandate for Publications and Research data assignment_turned_in Project2025 - 2030Partners:INESC TEC, KUL, AUA, Wisefour Innovation and Development Organisation Ltd, NTUA +10 partnersINESC TEC,KUL,AUA,Wisefour Innovation and Development Organisation Ltd,NTUA,GREEN & DIGITAL P.C.,INIAV,AJAP,Harper Adams University,DTU,UCD,INTRASOFT International,FEDERACION DE ASOCIACIONES DE MUJERES RURALES,University of Lincoln,.Funder: European Commission Project Code: 101182954Overall Budget: 5,004,290 EURFunder Contribution: 4,999,290 EURAGROBOOST is a pilot driven, 5-year multi-disciplinary project that aims to transform the agricultural sector into a more attractive, sustainable and efficient industry by harnessing the power of advanced agro-robotics, augmented reality (AR), artificial intelligence (AI), automation and digitalisation revealing the societal and economic benefits for all the people working in agriculture, especially women, young professionals and farmers with moving disabilities. Through the development of cutting-edge, ground-breaking solutions, the project will improve the safety and appeal of agricultural work, reduce environmental impacts, enhance productivity and address labour shortages. AGROBOOST will also emphasize on the development of flexible business models, concrete system analysis tools and training curricula to ensure the widespread adoption and the rapid uptake of these technology innovations. Six distinct and diverse pilot validation campaigns will be demonstrated in 6 countries across Europe (Portugal, Ireland, Greece, England, Belgium and Switzerland), covering multiple agricultural practices and sectors including (1) tree pruning and flower thinning, (2) mushroom selective harvesting, (3) automated weeding, (4) strawberries gentle picking, (5) animal husbandry and livestock farm management and (6) crop monitoring in steep slope viticulture. Financial support to third parties for testing and validation of technology offerings as part of the project’s funding and implementation strategy will be awarded through an Open Call, enabling a dynamic response to a changing policy and technology landscape. Through the engagement of a diverse range of stakeholders e.g., farmers (young and women), farm workers, advisors, technology providers and scientists in decision-making processes and the incorporation of social sciences perspectives, AGROBOOST will create a more inclusive and forward-looking agricultural landscape, securing a promising and sustainable future for farming.
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