E-SPFdigit Overview
- Headquarters
- Gr
- Industry
- Research Services
- Employees
- 31
- Founded
- 2024
- NAICS
-
Scientific Research and Development ServicesResearch and Development in the Physical, Engineering, and Life SciencesResearch and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)
About E-SPFdigit
E-SPFdigit will bring novel onsite digital tools already at TRL5 under systemic innovation, which will be further deployed, upscaled, field-tested and demonstrated to TRL7-8, in viticulture and horticulture applications in Greece and Spain in soil-contaminated areas (located near mines, offensive industries, highways, floodwaters). E-SPFdigit brings novel developed: i) MIP-based electrochemical sensors coupled with SPME for on-site monitoring and analysis of dedicated to PFAS targeted molecules, ii) Multiplex organic Surface Plasmon Resonance optical biosensors for onsite pesticides residues monitoring and analysis, iii) IDE-based electrochemical sensors for onsite detection and quantification of heavy metals & micronutrients, and iv) UVC LED -based nutrient analysers for soil water content in-situ and real time monitoring. The AI-driven onsite digital tools will be model calibrated using machine learning algorithms to improve error distribution of a predictive model, ensuring reliability. Also, E-SPFdigit brings an edge-based remote sensing framework via a robust autonomous mobile robot self-navigating and a heavy-duty unmanned aerial vehicle for in-field detection of soil parameters regarding the aforementioned chemical and biological stressors. Finally, to predict pesticide and fertiliser and other chemical contaminants impacts on crop-soil-microbiome nexus, the project will use on-field real-time digital ground sensors combined with Earth Observation data and causal machine learning. All the onsite digital tools will be interconnected with a Decision Support Systems with blockchain and cybersecurity mechanisms enabling informed decisions and automated decision making for IPM and INM, enhanced with automated decision making for immediate soil management practices. Horizon Europe Innovation Action (IA), under the Topic HORIZON-MISS-2023-SOIL-01-03. Grant Number: 101157922
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