Evaluating human-AI workflows for field research in viticulture

Key points

• 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.1
• In Workflow 1, Aleks v1, a multi-agent research system, developed forecasting models with iterative human refinement.1
• We applied Aleks's 2024 vine-scale model to updated 2025 predictors and evaluated red-leaf forecasts against independent 2025 scouting.1
• In Workflow 2, we assessed whether higher model-score vines had more frequent virus detection, and whether Aleks could infer this sampling goal from a general prompt with data and literature.1

Sources (1)

• [1]Evaluating human-AI workflows for field research in viticulture
  arXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 6, 03:04 AM

  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.

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