Overcoming Barriers to the Adoption of Decision Support Systems in Integrated Pest Management in Some European Countries

This study analyses barriers to adopting decision support systems in integrated pest management across 11 European countries by surveying farmers, advisors, researchers, and developers and using machine learning clustering to propose tailored strategies to increase DSS uptake.

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Detail description

Decision support systems (DSSs) can improve decision making in integrated pest management (IPM), but are still underutilised despite proven environmental and economic benefits. To overcome the barriers to DSS adoption, this study analyses survey data from 31 farmers and 94 farm advisors, researchers and developers across 11 European countries.

Using machine learning techniques, respondents were first categorised into clusters based on their responses to the questionnaire. The clusters were then explained using classification trees. For each cluster, customised approaches were proposed to overcome the barriers to DSS adoption. For farmers, these include building trust through co-development, offering free trials, organising practical workshops and providing clear instructions for use. For farm advisors and researchers, involvement in the development of DSS and giving them access to information about the characteristics of the DSS is crucial. IPM DSS developers should focus on 14 key recommendations to improve trust and the ease of use, increase the transparency of DSS descriptions and validation, and extend development to underserved sectors such as viticulture and vegetable farming. These recommendations aim to increase the uptake of DSSs to ultimately improve the implementation of IPM practises and help reduce the risk and use of pesticides across Europe despite the ever-growing challenges in agriculture.

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Contribution detail info

Project

AdvisoryNetPEST

EU ADVISORY NETworks to reduce the use and risks of PESTicides.

Location
Slovenia
Authors
Jurij Marinko
Purpose
Access data

File type
document
Created on
Feb 08, 2025
Origin language
English
Official project website
License
CC BY