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Agricultural Systems· 2016Q1

Decision support tools for agriculture: Towards effective design and delivery

David Christian Rose, William J. Sutherland, Caroline Parker, Matt Lobley et al.

Short summary

Despite a plethora of agricultural decision support tools available in the UK, their uptake by farmers and advisers remains disappointingly low.

AI-generated from the title and abstract; the full text is not read.

Key points

  • Low uptake of agricultural decision support tools is a widespread issue in the UK.
  • Fifteen influential factors were identified that affect farmer and adviser adoption.
  • Key factors include usability, cost-effectiveness, performance, and relevance.
  • Understanding these factors can guide better design and delivery of future tools.

AI-generated from the title and abstract; the full text is not read.

Abstract

Decision support tools, usually considered to be software-based, may be an important part of the quest for evidence-based decision-making in agriculture to improve productivity and environmental outputs. These tools can lead users through clear steps and suggest optimal decision paths or may act more as information sources to improve the evidence base for decisions. Yet, despite their availability in a wide range of formats, studies in several countries have shown uptake to be disappointingly low. This paper uses a mixed methods approach to investigate the factors affecting the uptake and use of decision support tools by farmers and advisers in the UK. Through a combination of qualitative interviews and quantitative surveys, we found that fifteen factors are influential in convincing farmers and advisers to use decision support tools, which include usability, cost-effectiveness, performance, relevance to user, and compatibility with compliance demands. This study finds a plethora of agricultural decision support tools in operation in the UK, yet, like other studies, shows that their uptake is low. A better understanding of the fifteen factors identified should lead to more effective design and delivery of tools in the future.

The authors' abstract, as published at the source. Agricultural Systems, 2016 · DOI ↗

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Field: General Agricultural and Biological Sciences

General Agricultural and Biological SciencesAgricultural and Biological Sciences