Developing a generic DSS model metadata catalogue and APIs for crop protection

Hanna Huitu (), Tor-Einar Skog, Christophe Pradal (), Antonio Calatayud, Tor Skaslien, Brita Linnestad, Ari Ronkainen, Christian Fournier (), Marc Labadie (), Dave Skirvin (), Matti Pastell, David Melchior, Johannes Tobiassen Langvatn and Berit Nordskog
Additional contact information
Hanna Huitu: LUKE - Natural Resources Institute Finland
Tor-Einar Skog: NIBIO - Norsk institutt for bioøkonomi=Norwegian Institute of Bioeconomy Research
Christophe Pradal: UMR AGAP - Amélioration génétique et adaptation des plantes méditerranéennes et tropicales - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Institut Agro Montpellier - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement - UM - Université de Montpellier, Cirad-BIOS - Département Systèmes Biologiques - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement, IROKO - Sciences environnementales guidées par les données - Centre Inria d'Université Côte d'Azur - Inria - Institut National de Recherche en Informatique et en Automatique - LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier - CNRS - Centre National de la Recherche Scientifique - UM - Université de Montpellier - IMAG - Institut Montpelliérain Alexander Grothendieck - CNRS - Centre National de la Recherche Scientifique - UM - Université de Montpellier
Antonio Calatayud: ADAS - Independent environmental and agricultural advice
Tor Skaslien: MET - Norwegian Meteorological Institute [Oslo]
Brita Linnestad: NIBIO - Norsk institutt for bioøkonomi=Norwegian Institute of Bioeconomy Research
Ari Ronkainen: LUKE - Natural Resources Institute Finland
Christian Fournier: LEPSE - Écophysiologie des Plantes sous Stress environnementaux - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Institut Agro Montpellier - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement
Marc Labadie: UMR AGAP - Amélioration génétique et adaptation des plantes méditerranéennes et tropicales - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Institut Agro Montpellier - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement - UM - Université de Montpellier
Dave Skirvin: ADAS - Independent environmental and agricultural advice
Matti Pastell: LUKE - Natural Resources Institute Finland
David Melchior: MET - Norwegian Meteorological Institute [Oslo]
Johannes Tobiassen Langvatn: MET - Norwegian Meteorological Institute [Oslo]
Berit Nordskog: NIBIO - Norsk institutt for bioøkonomi=Norwegian Institute of Bioeconomy Research

Working Papers from HAL

Abstract: Decision Support Systems (DSS) in crop protection can give a helpful pest risk prognosis or recommendations for pest control, allowing farmers to make better-informed decisions. As a part of European Union policy strategy steering at the sustainable use of plant protection products, the EU H2020 project "IPM Decisions" created an online platform allowing farmers and advisors to access many DSS for major pests, weeds, and diseases in a variety of crops across Europe. The project has assessed and analyzed a set of research verified DSS´s for integrated pest management. Information on the models employed by these DSS has been collected into a model catalogue, which is used by the IPM Decisions platform.Two Application Programming Interfaces (APIs) have been built to facilitate use of these models. In the spirit of the FAIR (Findable, Accessible, Interoperable, Reproducible) principles, the DSS API provides access to DSS models with their metadata, including the description of model inputand output parameters. Weather API allows access to European on-line weather data sources and adapts their offering to the needs of the DSS models. The new APIs work as part of the IPM Decisions Platform, but they are publicly available so that also other agricultural software such as crop protection applications or farm management information systems (FMIS) can use them.In this article, we discuss the development of DSS and Weather APIs and present their structures and definitions. Finally, we present the services that DSS API and Weather API provide, and demonstrate the use of the APIs in three application cases.

Date: 2025-08-21
Note: View the original document on HAL open archive server: https://hal.inrae.fr/hal-05218411v1
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Persistent link: https://EconPapers.repec.org/RePEc:hal:wpaper:hal-05218411

DOI: 10.31220/agriRxiv.2025.00350

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