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CORDIS

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

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

D2.6: User manual for System using SQAT Robots (opens in new window)

A technical user manual detailing procedures for field use of both robots used by the SQAT smart soil mapping system. (Leader: EV ILVO, M18/M33, R, PU)

D1.1 Management & coordination plan (opens in new window)

a strategic document defining the management structure and operating procedures, as well as their implementation (including measure, KPIs and milestones). The plan will also contain a categorization of risks, with specific mitigation measures and approaches.

D1.2 Gender equality & ethics management plan (opens in new window)

the document will enclose detailed strategies on how the project will ensure gender equality and proper ethics management in its activities (Lead: ABE, M03, ETHICS, PU)

D2.1: Use case implementation plans (opens in new window)

A document detailing specific activities across a timeline for deployment of the use cases. It will also define the evaluation methodology to be used (Leader: ABE, M03, R, PU)

D4.2: Data governance principles: (opens in new window)

A report providing a tailored solution of data goverance principles for SQATand a set of measures to apply them to use cases (Leader: FarmEye, M06, Report, PU)

D5.1: Exploitation, dissemination, and communication strategy (opens in new window)

A document detailing the project’s strategic approach to exploitation, dissemination, and communication activities, on the basis of KPI-driven objectives, target and audience differentiation (Leader: ABE, M03, Report, PU)

D4.1: Data Management Plan (opens in new window)

A data management plan document in line with the FAIR principles to promote project data to be findable, accessible, interoperable and reusable (Leader: FarmEye, M08, DMP, PU)

D5.2: Communication kit and project website (opens in new window)

A package of materials for partners to use to promote the project and the project website. (Leader: ABE, M03, DEC, PU)

D2.5: Lightweight and heavy-duty sampler device with proximity sensors (opens in new window)

An electro-mechanical arm attachable to robotic platforms for soil sampling in different soil conditions. (Leader: ILT-OST, M18, OTHER, PU)

Publications

Overfitting due to data leakage in soil sensor calibration: Examples from lab-based and in-situ soil NIR spectroscopy (opens in new window)

Author(s): José Correa, Hamed Tavakoli, Sebastian Vogel, Robin Gebbers
Published in: Computers and Electronics in Agriculture, Issue 239, 2025, ISSN 0168-1699
Publisher: Elsevier BV
DOI: 10.1016/J.COMPAG.2025.110920

Multi-Source Data Integration for Sustainable Management Zone Delineation in Precision Agriculture (opens in new window)

Author(s): Dušan Jovanović, Miro Govedarica, Milan Gavrilović, Ranko Čabilovski, Tamme van der Wal
Published in: Sustainability, Issue 17, 2025, ISSN 2071-1050
Publisher: MDPI AG
DOI: 10.3390/SU17156931

Development and In-Field Validation of an Autonomous Soil Mechanical Resistance Sensor (opens in new window)

Author(s): Valentijn De Cauwer, Simon Cool, Axel Willekens, Sébastien Temmerman, David Nuyttens, Tommy D’ Hose, Jan Pieters, Sam Leroux
Published in: Sensors, Issue 25, 2025, ISSN 1424-8220
Publisher: MDPI AG
DOI: 10.3390/S25061919

Which and how many soil sensors are ideal to predict key soil properties: A case study with seven sensors (opens in new window)

Author(s): J. Schmidinger, V. Barkov, H. Tavakoli, J. Correa, M. Ostermann, M. Atzmueller, R. Gebbers, S. Vogel
Published in: Geoderma, Issue 450, 2024, ISSN 0016-7061
Publisher: Elsevier BV
DOI: 10.1016/J.GEODERMA.2024.117017

Effect of training sample size, sampling design and prediction model on soil mapping with proximal sensing data for precision liming (opens in new window)

Author(s): Jonas Schmidinger, Ingmar Schröter, Eric Bönecke, Robin Gebbers, Joerg Ruehlmann, Eckart Kramer, Vera L. Mulder, Gerard B. M. Heuvelink, Sebastian Vogel
Published in: Precision Agriculture, Issue 25, 2024, ISSN 1385-2256
Publisher: Springer Science and Business Media LLC
DOI: 10.1007/S11119-024-10122-3

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