Project description
Growing solutions for soil health challenges
Farms are at the forefront of the data economy, propelled by digitalisation, robotics and smart algorithms. However, these advancements exacerbate societal pressures on soil health, demanding cleaner water, healthier soils, increased carbon storage and biodiversity. Current solutions are costly and unsuitable for farmers. With this in mind, the EU-funded SQAT project will develop a smart soil mapping service. Combining multi-level, multi-technology approaches, SQAT offers high-resolution soil property maps and tailored solutions for farmers. Using autonomous robot-mounted sensors and innovative in situ analysis tools, the SQAT system enhances productivity while reducing costs. Co-developing with SMEs, SQAT aims to commercialise its solutions, empowering farmers with variable-rate applications for liming, fertilisation, seeding, tillage and carbon farming.
Objective
Digitalisation, robotics, and smart algorithms have brought the data economy to the farm. However, farms face large societal pressures related to soil: cleaner water, healthier soils, improved carbon storage and increase in biodiversity. A better understanding of the variability of soil properties and quality is needed, with current market solutions being too expensive and not well suited to farmer needs.
SQAT's smart soil mapping service is a multi-level, multi-technology and multi-purpose solution. With a keen eye on markets and users, SQAT’s approach is designed to overcome today’s practical, technical and financial challenges to generate high resolution soil properties maps – and demand-driven products like application maps for soil improvement or crop management, or compliancy proof for eco schemes. Our vision is that the integration of different technologies provides a flexible and agile service beating the unbundled alternatives that are now in the market: our in-situ sampling and/or sensoring is wrapped in a Copernicus-based artificial intelligence soil mapping product.
In the field, our autonomous robot-mounted sensor toolbox includes VIS-NIR sensors, automated sampler drill and penetrometer, and a novel chamber for in situ wet chemical soil analysis (Lab in the Field). Overall, the system increases the productivity and reduces laboratory/labour costs compared to current approaches. Using resulting maps, SQAT co-develops, tests and validates 5 smart farming applications to deliver value to farmers: Variable rate liming/fertilisation/seeding, Variable depth tillage, & Carbon farming MRV.
We include 7 SMEs from across the SQAT data value chain to lead co-development in 7 use cases across Europe. The results will be commercialised by project end courtesy of a pro-active market focus, that aims to engage and onboard users in the use case locations, as well as other agri-service providers to develop their own SQAT-enabled smart farming applicatications.
Fields of science
- natural sciencescomputer and information sciencesartificial intelligence
- social scienceseconomics and businesseconomicsproduction economicsproductivity
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- natural sciencesbiological sciencesecologyecosystems
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringrobotics
Keywords
Programme(s)
Topic(s)
Funding Scheme
HORIZON-IA - HORIZON Innovation ActionsCoordinator
21000 Novi Sad
Serbia