How AI Transforms Barriers to Organic Arable Farming Adoption

Negin Salimi () and Thomas Bokdam
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Negin Salimi: Wageningen University and Research
Thomas Bokdam: Wageningen University and Research

Chapter Chapter 5 in Advances in Best–Worst Method, 2025, pp 77-102 from Springer

Abstract: Abstract While AI's impact on conventional arable farming is well-studied, its potential in organic farming remains underexplored. As farmers transition from conventional to organic practices, they face numerous hurdles. This study aims to investigate how AI can mitigate these challenges. Interviews with 16 experts in organic farming and AI, along with a Best–Worst Method and importance-performance analysis, revealed economic and environmental challenges as top priorities for farmers. Current AI performance in addressing these challenges is low, yet its potential is high. The findings suggest ample opportunities to enhance AI utilization in Dutch organic agriculture, guiding policymakers and technology companies in supporting and prioritizing initiatives.

Keywords: Artificial Intelligence; Organic farming; Multi-criteria-decision making method (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-3-031-76766-1_5

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DOI: 10.1007/978-3-031-76766-1_5

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