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.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

How AI Transforms Barriers to Organic Arable Farming Adoption

  • Negin Salimi,
  • Thomas Bokdam

摘要

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.