Project description
The INVASOR-ES project aims to develop advanced technological solutions to combat invasive alien species (IAS) in hydraulic infrastructure, especially irrigation systems. These species, such as the zebra mussel, the apple snail and bryozoans, cause serious problems in infrastructure: blockages, breakdowns, high maintenance costs and loss of agricultural productivity.
This project will be an opportunity to implement new technologies, where the use of advanced monitoring sensors combined with machine vision and deep learning will allow the accurate and efficient identification and classification of different invasive species larvae. The main outcome of the project is the creation of monitoring stations based on machine vision that detect IAS at larval and adult stages in real time through automatic sampling and artificial intelligence. This disruptive technology will enable more efficient preventive control, reducing dependence on traditional chemical treatments, which are costly and harmful to the environment.
The project also seeks to develop specific strategies for emerging IAS, for which no efficient preventive methodologies currently exist. These solutions will be adapted to the particular needs of each infrastructure, integrating sustainable and environmentally friendly techniques while reducing operating costs and minimising the risk of economic impact.
Execution period
November 2023 – May 2027
Project coordinator
Grants
File no.: REGAGE23e00065113963
Call: Supra-regional Operational Groups of the EIP-AGRI (2023)
Funding: This project is part of the CAP Strategic Plan 2023-2027 and is 80% funded by the EAFRD and 20% by the Spanish Ministry of Agriculture, Fisheries and Food, with total aid of €585,319.34, representing 99.1% funding.
Total project amount: €590,661.36
EAFRD amount: €468,255.49
Spanish State (AGE) amount: €117,063.85
Aid intensity: 99.1%
