The SF-Olive Korea-Spain consortium has been selected by South Korea's Ministry of Trade, Industry and Energy and the Korea Institute for Advancement of Technology (KIAT) for the '2026 International Joint Technology Development Project' to develop a Physical AI-based smart farm platform for olive production in Spain. The consortium announced on the 27th that it will pursue the project titled 'SF-Olive: Development of Smart Farm Platform for Olive Production Based on Advanced Sensing, Blockchain, and Edge AI Semiconductors.' On the Korean side, R&S Lab serves as the lead research institution with participation from KAIST and Social Infratech technical personnel, while Spain's energy and IT company Magtel Operaciones leads the Spanish side alongside ITERIAM and BrioAgro. The platform directly measures Plant Electrical Biomarker signals from olive tree stems and leaves using ultra-low-power semiconductors, integrating edge AI that predicts moisture stress within 0.1 seconds on-site without cloud connectivity and blockchain technology in a unified architecture.
Consortium Deploys Direct Biomarker Measurement Technology for Olive Farms
Unlike conventional precision agriculture that relies on indirect indicators such as soil moisture and meteorological data, this platform directly measures electrical biosignals (Plant Electrical Biomarker) generated from olive tree stems and leaves using ultra-low-power semiconductors. R&S Lab leads the Korean research team with KAIST and Social Infratech providing technical expertise, while Magtel Operaciones coordinates the Spanish side with ITERIAM and BrioAgro as consortium partners.
Platform Integrates Edge AI and Blockchain for Real-Time Data Integrity
The platform features edge AI that predicts moisture stress within 0.1 seconds on-site without cloud connection. Biosignals, irrigation recommendations, and actual water usage are hashed and recorded in real-time on the blockchain, integrating measurement data into a single structure. Professor Je Min-gyu of KAIST (Head of AI Systems Department) stated, "In Physical AI environments, where numerous edge sensors and terminals are distributed, ensuring data reliability and preventing data contamination are among the most important and difficult problems to solve. By combining blockchain with the platform, we aim to cryptographically verify the integrity of collected and processed data and fundamentally solve data contamination issues."
Smart Contracts Automate Subsidy Settlement and Compliance Reporting
Smart contracts automatically cross-check AI predictions against actual usage, reducing the farm subsidy and carbon credit settlement period from several months to several days. The system automatically provides compliance reporting aligned with Spanish and European Union organic certification requirements and the Common Agricultural Policy (CAP) eco-scheme.
Pilot Testing in Andalusia Targets 2033 Resource Savings Goals
The consortium plans to conduct verification at a large-scale olive testbed in Spain's Andalusia region before expanding to Mediterranean fruit trees such as grapes and citrus, and to the domestic greenhouse horticulture market. By 2033, the consortium expects to save 2.4 million m² of water and 150-200 tons of carbon dioxide annually from overseas installations alone. Professor Je added, "We are planning to launch a global 'Physical AI Platform Consortium' based on this SF-Olive project and will work closely with Social Infratech, which possesses blockchain core technology."
FAQ
What technology does the SF-Olive platform use to monitor olive trees?
The platform directly measures Plant Electrical Biomarker signals from olive tree stems and leaves using ultra-low-power semiconductors, integrating edge AI that predicts moisture stress within 0.1 seconds on-site without cloud connectivity and blockchain technology in a unified architecture.
How does the platform reduce subsidy settlement time?
Smart contracts automatically cross-check AI predictions against actual water usage, reducing the farm subsidy and carbon credit settlement period from several months to several days, while automatically providing compliance reporting for Spanish and EU organic certification and CAP eco-scheme requirements.
What are the consortium's resource savings targets by 2033?
By 2033, the consortium expects to save 2.4 million m² of water and 150-200 tons of carbon dioxide annually from overseas installations alone, following pilot testing in Andalusia and expansion to Mediterranean fruit trees and domestic greenhouse horticulture markets.
