Imagine having a high-tech health check for your farm that happens instantly on the spot. Instead of sending soil and plant samples to a distant lab and waiting days, drones and robots scan the land while smart sensors detect pollutants like PFAS or heavy metals in real-time. It is like giving a farmer a digital dashboard that tells them exactly where the land is sick and how to fix it immediately.
Farmers and land managers struggle with slow, expensive lab-based testing to detect PFAS, heavy metals, and pesticides. This delay prevents immediate action to protect crops and ensure food safety in contaminated areas.
A suite of onsite digital tools including MIP-based sensors for PFAS, SPR biosensors for pesticides, IDE sensors for heavy metals, and UVC LED nutrient analysers, all integrated with AI-driven robots and UAVs.
If you are a vineyard operator dealing with soil contamination near highways or industrial zones — this project developed AI-driven onsite digital tools that provide real-time monitoring of pesticides and heavy metals. This allows for automated decision making for immediate soil management practices.
If you are a remediation company dealing with PFAS or heavy metal hotspots near mines — this project developed MIP-based electrochemical sensors and autonomous mobile robots that detect chemical stressors in-field. This reduces the need for manual sampling and lab delays.
If you are a robot manufacturer dealing with the need for integrated sensing — this project developed an edge-based remote sensing framework using heavy-duty UAVs and self-navigating robots. This enables the creation of machines that can autonomously map soil-food nexus contaminants.
Based on available project data, specific pricing or cost structures for the tools are not provided.
Yes, the project aims to upscale and field-test the tools to TRL7-8 in viticulture and horticulture applications across Greece and Spain.
Based on available project data, the IP and licensing terms are not specified, though the consortium includes 8 industry partners and 9 SMEs.
The tools are interconnected with Decision Support Systems using blockchain and cybersecurity mechanisms to enable automated decision making.
The project runs from 2024-10-01 to 2027-09-30, targeting a readiness level of TRL7-8 by the end of the period.
The consortium is heavily geared toward commercialization, with a 44% industry ratio comprising 8 industry partners and 9 SMEs. With 18 partners across 9 countries, the project balances academic research (4 universities, 5 research centers) with a strong operational focus on SMEs, suggesting a high likelihood of the resulting tools being transitioned into commercial products.
Contact ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS in Greece
Contact us to connect with the E-SPFdigit consortium for early adoption of onsite soil sensors.
