Imagine the soil is like a sponge that has become hard and dry, unable to hold water or grow plants. This work tests a mix of 'natural boosters' like special bacteria and smart water-saving tricks to make the land fertile again. It's like giving the earth a customized health plan based on satellite data and AI to keep farms productive.
Land degradation and desertification reduce agricultural productivity and economic growth in drylands. Current restoration efforts often lack site-specific data and scalable, cost-effective biological tools.
A multi-modular, web-based Decision Support System using AI and remote sensing, alongside a suite of tested bio-fertilizers and water-reuse protocols.
If you are a software provider dealing with unpredictable crop yields in arid zones — this project developed a multi-modular Decision Support System that uses AI and remote sensing to recommend specific land restoration practices.
If you are a manufacturer dealing with low efficiency of chemical fertilizers in dry soils — this project developed microbial-based solutions and symbiotic N-fixing rhizobia that improve soil health and plant growth.
If you are an operator dealing with high volumes of treated water that go to waste — this project developed methods for treated wastewater reuse in agriculture to combat desertification.
Based on available project data, specific pricing is not listed, but the project focuses on conducting cost-benefit and market analysis to promote private investments.
Yes, the project aims to scale-out solutions across 6 Mediterranean case studies in 5 different countries to prove their effectiveness.
Based on available project data, there is no specific mention of licensing terms, though it involves 23 partners including 3 SMEs.
The project runs from 2024-09-01 to 2028-08-31.
Integration happens through a web-based Decision Support System that leverages remote sensing and Artificial Intelligence to guide practice adoption.
The consortium is diverse with 23 partners across 9 countries. While dominated by academic and research institutions (14 total), there is a 13% industry ratio with 3 companies, including 3 SMEs. This suggests a strong scientific foundation with a targeted effort to bridge the gap to commercial application through small-scale industrial participation.
Contact Universita degli Studi di Sassari
Contact us to connect with the MONALISA consortium for AI-driven soil restoration tools.
