Evaluating human-AI workflows for field research in viticulture
We assessed the value of two live human-AI interactions in a precision disease control project in California vineyards. The project tested whether 2021-2024 commercial scouting records and remote-sensing measurements across 140 hectares could support 2025 red-leaf symptom forecasting for prioritized scouting and virus testing. In Workflow 1, Aleks v1, a multi-agent research system, developed forecasting models with iterative human refinement. We applied Aleks's 2024 vine-scale model to updated 2025 predictors and evaluated red-leaf forecasts against independent 2025 scouting. In retrospective simulations surveying 45% of all vine positions, adding model-informed row prioritization to adap...
| Authors | Niko Carvajal Janke, Daoyuan Jin, Shivranjani Baruah et al. |
|---|---|
| Primary category | cs.HC |
| Published | 6 October 2026 |
| Last updated at source | 6 October 2026 |
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