PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 13, 2026in silico Plants0 citationsOpen Access

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

View Full Paper
HHHanna HuituTSTor-Einar SkogCPChristophe Pradal

Key Points

  • This research aims to create an integrated online platform for decision support in crop protection, facilitating better pest management.
  • Developed two APIs for decision support and weather data integration.
  • Compiled models into a model catalogue for crop pest management.
  • Aligned with FAIR principles to enhance data accessibility.
  • Provided farmers and advisors with access to diverse decision support models.
  • Enabled integration between pest management systems and online weather data.
  • Facilitated the open-source usage of APIs for broader agricultural applications.

Abstract

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, 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.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Huitu et al. (2026) studied this question.

synapsesocial.com/papers/69dc88f43afacbeac03eab69https://doi.org/10.1093/insilicoplants/diag006
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Yield increases due to fungicide control of leaf blotch diseases in wheat and barley as a basis for IPM decision-making in the Nordic-Baltic region2020 · 51 citations
  2. 2Decision Support Systems: Quenching the Thirst2002 · 85 citations
  3. 3Emergence of flies from overwintering populations of cabbage root fly pupae1983 · 36 citations
  4. 4From the Service-Oriented Architecture to the Web API Economy2016 · 113 citations
  5. 5An agrometeorological approach for the simulation of Plasmopara viticola2008 · 35 citations