New study reveals what crop advisors really want from AI tools
Phys.org
February 25, 2026
AI-Generated Deep Dive Summary
A new study co-authored by researchers from Virginia Tech and the University of Vermont reveals critical insights into how Certified Crop Advisors (CCAs) across North America evaluate artificial intelligence–enabled decision support systems (AI-DSS) for agriculture. Published in *Technological Forecasting and Social Change*, the research highlights the design features that most influence whether trusted agricultural advisors will adopt AI tools, as well as potential barriers to their use.
The study emphasizes that Certified Crop Advisors, who play a pivotal role in shaping farming practices, are highly selective about the technology they recommend. Their trust is crucial for the widespread adoption of AI-DSS, which can significantly impact agricultural outcomes. The research underscores that accuracy, transparency, and integration with existing tools are key factors influencing their decision-making.
One of the most significant findings is the importance of trust in AI systems. CCAs prioritize reliability and interpretability, meaning they want AI tools to provide clear, actionable insights that align with their expertise. Additionally, ethical considerations such as data privacy and ownership are major concerns, highlighting the need for developers to address these issues to gain trust.
The study also identifies opportunities for AI-DSS to enhance agricultural practices by improving efficiency, sustainability, and resilience against climate change. By addressing the specific needs of CCAs, developers can create tools that not only meet but exceed expectations, fostering greater adoption and innovation in agriculture.
This research is particularly relevant for scientists and policymakers interested in advancing agricultural technology. It underscores the importance of understanding user perspectives when developing AI tools, ensuring they are both effective and trustworthy. By addressing the concerns and priorities of CCAs, the agricultural sector can harness the full potential of AI to address pressing challenges in food production and environmental sustainability.
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Originally published on Phys.org on 2/25/2026