open access publication

Article, 2024

Typology for Decision Support Systems in Integrated Pest Management and Its Implementation as a Web Application

Agronomy, ISSN 2073-4395, Volume 14, 3, 10.3390/agronomy14030485

Contributors

Marinko J. 0000-0002-1326-1643 (Corresponding author) [1] Blazica B. 0000-0003-4597-5947 [1] Jorgensen L.N. 0000-0001-5126-9833 [2] Matzen N. [2] Ramsden M. [3] Debeljak M. 0000-0003-4334-4295 [1]

Affiliations

  1. [1] J. Stefan Institute
  2. [NORA names: Slovenia; Europe, EU; OECD];
  3. [2] Aarhus University
  4. [NORA names: AU Aarhus University; University; Denmark; Europe, EU; Nordic; OECD];
  5. [3] ADAS Boxworth
  6. [NORA names: United Kingdom; Europe, Non-EU; OECD]

Abstract

Decision support systems (DSSs) enable the optimisation of pesticide application timing to increase pesticide efficacy and thus reduce pesticide use without compromising yield quality and quantity. Limited access to information about available DSSs for use in integrated pest management (IPM) is a major barrier to the uptake of DSSs for IPM across Europe. To overcome this barrier, a typology for DSSs for IPM in Europe was developed, introducing a systematic approach to describe the ever-growing number of DSSs for IPM. The developed IPM-DSS typology was implemented in the free web tool “IPM Adviser”, where currently 79 IPM DSSs are described with over 50 attributes describing their structural and performance characteristics. The information about IPM DSSs, which was previously scattered on different websites and difficult to compare, is now standardised and presented in a uniform way, so that it is possible to compare different IPM DSSs on the basis of all the attributes described. The presented IPM-DSS typology implemented in the web tool IPM Adviser facilitates the dissemination and uptake of DSSs for IPM and thus contributes to the achievement of the EU targets for the sustainable use of pesticides.

Keywords

DSS uptake, decision support system, integrated pest management, sustainable use of pesticides, typology, user experience, web tool

Funders

  • Jožef Stefan International Postgraduate School
  • Javna Agencija za Raziskovalno Dejavnost RS
  • Horizon 2020 Framework Programme
  • European Research Council
  • IPM Decisions

Data Provider: Elsevier