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

Informacje na temat projektu

SQAT

Identyfikator umowy o grant: 101129644

DOI

10.3030/101129644

Data podpisania przez KE 24 Stycznia 2024

Data rozpoczęcia 1 Lutego 2024

Data zakończenia 31 Lipca 2027

Finansowanie w ramach

• Digital, Industry and Space

Koszt całkowity

€ 3 586 760,00

Wkład UE

€ 2 999 903,75

Koordynowany przez

UDRUZENJE EKO-INOVACIJA NA BALKANU
Serbia

CORDIS oferuje możliwość skorzystania z odnośników do publicznie dostępnych publikacji i rezultatów projektów realizowanych w ramach programów ramowych HORYZONT.

Odnośniki do rezultatów i publikacji związanych z poszczególnymi projektami 7PR, a także odnośniki do niektórych konkretnych kategorii wyników, takich jak zbiory danych i oprogramowanie, są dynamicznie pobierane z systemu OpenAIRE .

Rezultaty

Documents, reports (9)

D2.6: User manual for System using SQAT Robots

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

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

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)

D3.3: Smart Farming Applications performance reports

A public overview of the work done in T3.4, including methodology, development results, performance results, & user feedback. (Leader: AeroVision, M21/M39, R, PU)

D2.2: Annual use case reports

A report documenting the activities of the use case annually, and assessing performance in line with KPIs. Best-practices and room-for-improvement will be identified, on which basis the use case plans for the successive year will be re-examined. . (Leader: ABE, M15/M27/M39, R, PU)

D2.1: Use case implementation plans

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:

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)

D5.3 Periodic engagement report

A periodic report presenting the results of dissemination and communicationactivities (T5.2-T5.4) and evaluating them based on the EDCS (Leader: ABE, M21/42, Report, PU)

D5.1: Exploitation, dissemination, and communication strategy

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)

Data Management Plan (1)

D4.1: Data Management Plan

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)

Websites, patent fillings, videos etc. (1)

D5.2: Communication kit and project website

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

Other (1)

D2.5: Lightweight and heavy-duty sampler device with proximity sensors

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

Publikacje

Peer reviewed articles (5)

Overfitting due to data leakage in soil sensor calibration: Examples from lab-based and in-situ soil NIR spectroscopy

Autorzy: José Correa, Hamed Tavakoli, Sebastian Vogel, Robin Gebbers
Opublikowane w: Computers and Electronics in Agriculture, Numer 239, 2025, ISSN 0168-1699
Wydawca: Elsevier BV
DOI: 10.1016/J.COMPAG.2025.110920

Multi-Source Data Integration for Sustainable Management Zone Delineation in Precision Agriculture

Autorzy: Dušan Jovanović, Miro Govedarica, Milan Gavrilović, Ranko Čabilovski, Tamme van der Wal
Opublikowane w: Sustainability, Numer 17, 2025, ISSN 2071-1050
Wydawca: MDPI AG
DOI: 10.3390/SU17156931

Development and In-Field Validation of an Autonomous Soil Mechanical Resistance Sensor

Autorzy: Valentijn De Cauwer, Simon Cool, Axel Willekens, Sébastien Temmerman, David Nuyttens, Tommy D’ Hose, Jan Pieters, Sam Leroux
Opublikowane w: Sensors, Numer 25, 2025, ISSN 1424-8220
Wydawca: 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

Autorzy: J. Schmidinger, V. Barkov, H. Tavakoli, J. Correa, M. Ostermann, M. Atzmueller, R. Gebbers, S. Vogel
Opublikowane w: Geoderma, Numer 450, 2024, ISSN 0016-7061
Wydawca: 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

Autorzy: Jonas Schmidinger, Ingmar Schröter, Eric Bönecke, Robin Gebbers, Joerg Ruehlmann, Eckart Kramer, Vera L. Mulder, Gerard B. M. Heuvelink, Sebastian Vogel
Opublikowane w: Precision Agriculture, Numer 25, 2024, ISSN 1385-2256
Wydawca: Springer Science and Business Media LLC
DOI: 10.1007/S11119-024-10122-3