Horizon Europe — MSCA Staff Exchanges SMARTOLIVE Sustainable Management and Applications for Resource-Efficient Technologies in Olive Discover the Project → Meet the Consortium 9 partners 5 countries 7 work packages 48 months Research Objectives Key Objectives SMARTOLIVE develops an innovative Decision Support System for modern olive farming, leveraging IoT, AI, and advanced sensing technologies. SO1 Smart Monitoring Proximal and remote sensing technologies for real-time monitoring of olive orchards, integrating IoT sensor networks with UAV and satellite imagery. SO2 / TO1 AI-Powered Platform Cloud-based precision management platform with machine learning algorithms for predictive analytics, decision support, and smart olive orchard management. SO2 Traceability & Quality RFID-based traceability and blockchain-enhanced QR labeling from orchard to table, combined with AI-powered olive oil quality assessment. EO1 Economic Viability Techno-economic models validating the economic and ecological advantages of precision systems for smallholder farmers and cooperatives. KO1 / KO2 Knowledge Transfer Interdisciplinary transfer of knowledge between agri-food experts, computational scientists, and validation in real-world olive-growing living labs. From Field to Table Real images from our consortium Open the gallery → Open the gallery → From Field to Table A holistic integration of technologies across the entire olive production chain — from in-field management to harvest and post-harvest processes — ensuring sustainability, quality, and traceability. Explore Work Packages →
