Unlocking crop protection models for decision support: web infrastructure and integration

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, LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier - UPVD - Université de Perpignan Via Domitia - Inria - Institut National de Recherche en Informatique et en Automatique - CNRS - Centre National de la Recherche Scientifique - UM - Université de Montpellier - UMPV - Université de Montpellier Paul-Valéry
Antonio Calatayud: ADAS - Agricultural Development and Advisory Service
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, Cirad-BIOS - Département Systèmes Biologiques - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement
Dave Skirvin: ADAS - Agricultural Development and Advisory Service
Matti Pastell: LUKE - Natural Resources Institute Finland
David Melchior: MET - Norwegian Meteorological Institute [Oslo]
Johannes Tobiassen Langvatn: 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
Berit Nordskog: NIBIO - Norsk institutt for bioøkonomi=Norwegian Institute of Bioeconomy Research

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Abstract: Decision support systems (DSS) in crop protection provide valuable support for pest risk prognosis and recommendations for pest control, enabling farmers to make better-informed decisions. As a part of the European Union's strategy for the sustainable use of plant protection products, the "IPM Decisions" project developed an online platform that gives farmers and advisors access to a wide range of DSS for major pests, weeds, and diseases in a variety of crops across Europe. Multiple DSS models relevant for different crops and geographical regions of Europe were selected for integration in the platform. Information on the models is compiled into a model catalogue, which serves as a core component of the IPM Decisions platform. To facilitate the use of these models, two application programming interfaces (APIs) were developed. In line with the FAIR (findable, accessible, interoperable, and reusable) principles, the DSS API provides access to models and their metadata, including descriptions of input and output parameters. The weather API enables access to European online weather data sources and adapts this data to meet the requirements of DSS models. While these APIs are integrated into the IPM decisions platform, they are also open source, allowing other crop protection and farm management software to inspect, download, modify, install, run, and use them. In this article, we describe the development of the DSS and weather APIs, outline their structure and definitions, and present the services that DSS API and weather API provide. Finally, we demonstrate their application through three practical use cases.

Keywords: open-source digital platforms; FAIR principles; model interoperability; application programming interfaces; crop protection modeling; integrated pest management; decision support systems (search for similar items in EconPapers)
Date: 2026-04-08
Note: View the original document on HAL open archive server: https://hal.science/hal-05627216v1
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Published in in silico Plants, 2026, 8 (1), pp.diag006. ⟨10.1093/insilicoplants/diag006⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05627216

DOI: 10.1093/insilicoplants/diag006

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