SOURCE-LINKED INTELLIGENCE

Soil Quality Analysis Tool: Implementing Smart Farming Applications using EO Data, Soil Sensors & Robotics

CORDIS · observation · Publication date unknown

n 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

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recordType

award

status

SIGNED

region

EU

value

2999903.75

unit

EUR