Certified Crop Advisor Preferences for AI Decision Support Systems

771 survey responses from Certified Crop Advisors collected via the Crop Science Society of America, analyzing preferences for AI-augmented decision support systems. The data was gathered in 2026 and analyzes trade-offs between cost, accuracy, precision, and data ownership. The study was authored by Asim Zia and uses Discrete Choice Experiments to model adoption likelihood.

Use Cases

• Modeling technology adoption likelihood based on cost, accuracy, and data ownership attributes.
• Analyzing the influence of AI perceptions and prior technology experience on stated preferences.
• Informing the design of trustworthy AI systems for precision agriculture based on practitioner feedback.

Strengths

• 771 survey responses provide a substantive sample size.
• Analysis includes statistically significant marginal effects (e.g., 1% accuracy improvement leads to ~4% adoption increase).
• Survey distributed to a targeted professional group (~2600 Certified Crop Advisors).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the underlying choice experiment data is unknown, which may limit suitability assessment.
• The 44.8 KB file size suggests the primary data may be summarized results rather than raw responses.

Provenance

Source

Survey distributed by the Crop Science Society of America.

Collection Method

Discrete Choice Experiment survey informed by six focus groups.

Freshness

Last updated 2026-05-13 05:34:06; freshness should be verified.