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CORDIS - EU research results
CORDIS

A New IACS Vision in Action

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

Software of the common components (opens in new window)

Finalised software code for components as developed as common components in WP4; this is the set of software components, to be developed by WP4 as REST-APIs with EU PL, that solve common problems (such as Earth observation data processing, e-ID's).

Basic software stack for running tests (opens in new window)

Deployment in a cloud environment, to be identified, of an integrated stack of software allowing for publishing of common data and service APIs and subsequent upgrades;

Publications

NIVA POLICY BRIEF No. 4 - Farm Data has Potential for Monitoring

Author(s): NIVA Consortium
Published in: 2022
Publisher: NIVA Consortium

NIVA TECHNICAL BRIEF No. 1 - Common Crop Type List for CAP Monitoring

Author(s): NIVA Consortium
Published in: 2021
Publisher: NIVA Consortium

"UC2 ""Prefilled Application"" component's ""Robot Data Harvesting Tool"" white paper" (opens in new window)

Author(s): Kaveckis, Giedrius
Published in: report, Issue 4, 2022, Page(s) 1-8
Publisher: NPA
DOI: 10.5281/zenodo.7386521

NIVA TECHNICAL BRIEF - Farm Registry data model

Author(s): NIVA Consortium
Published in: 2021
Publisher: NIVA Consortium

NIVA Geotagged Photos - Danish AI Challenge (detection of livestock grazing) (opens in new window)

Author(s): Franke, G.J.; Pratihast, A.K.; Knapen, M.J.R.
Published in: Report, Issue 4, 2022, Page(s) 1-10
Publisher: Wageningen Research
DOI: 10.5281/zenodo.7437061

NIVA TECHNICAL BRIEF - Towards a standardized workflow for EO monitoring

Author(s): NIVA consortium
Published in: 2022
Publisher: NIVA consortium

NIVA POLICY BRIEF No. 2 - Operationalising agro-climatic andagro-environmental indicators forfuture CAP

Author(s): NIVA Consortium
Published in: 2020
Publisher: NIVA Consortium

NIVA Geotagged Photos - Lithuania AI Challenge (detection of evidence of fruit, berry or vegetable bearing plants.) (opens in new window)

Author(s): Franke, G.J.; Pratihast, A.K.; Knapen, M.J.R.
Published in: report, Issue 7, 2022, Page(s) 1-8
Publisher: Wageningen Research
DOI: 10.5281/zenodo.7437159

NIVA TECHNICAL BRIEF No. 1 - Common Crop Type List for CAP Monitoring

Author(s): NIVA Consortium
Published in: brief, Issue 5, 2021
Publisher: NIVA consortium

NIVA Geotagged Photos AI Platform and Irish Challenge (privacy and pasture identification) (opens in new window)

Author(s): Hearne, Dave; Boujnah, Noureddine Dr
Published in: report, Issue 8, 2022, Page(s) 1-14
Publisher: WIT
DOI: 10.5281/zenodo.7437210

NIVA POLICY BRIEF No. 5 - Carbon farming, Result-based schemes and NIVA indicators

Author(s): NIVA Consortium
Published in: 2022
Publisher: NIVA Consortium

NIVA POLICY BRIEF No. 3 - Modernising the CAP to help deliver the European Green Deal

Author(s): NIVA Consortium
Published in: 2020
Publisher: NIVA Consortium

Co-designing a smartphone app for and with farmers: Empathising with end-users’ values and needs (opens in new window)

Author(s): Ursula Kenny, Áine Regan
Published in: Journal of Rural Studies, Issue 82, 2024, Page(s) 148-160, ISSN 0743-0167
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.jrurstud.2020.12.009

AgriCarbon-EO v1.0.1: large-scale and high-resolution simulation of carbon fluxes by assimilation of Sentinel-2 and Landsat-8 reflectances using a Bayesian approach (opens in new window)

Author(s): Taeken Wijmer, Ahmad Al Bitar, Ludovic Arnaud, Remy Fieuzal, Eric Ceschia
Published in: Geoscientific Model Development, Issue 17, 2024, Page(s) 997-1021, ISSN 1991-9603
Publisher: European Geosciences Union Copernicus
DOI: 10.5194/gmd-17-997-2024

Empathising, defining and ideating with the farming community to develop a geotagged photo app for smart devices: A design thinking approach (opens in new window)

Author(s): Ursula Kenny, Áine Regan, Dave Hearne, Christine O'Meara
Published in: Agricultural Systems, Issue 194, 2022, Page(s) 103248, ISSN 0308-521X
Publisher: Applied Science Publishers
DOI: 10.1016/j.agsy.2021.103248

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