repoGitLabTrust 82 · PrimaryPublished 1mo agoLive · 2d ago
April.Wu/stage-specific-causal-machine-learning-for-potato-yield-response-to-water-deficit-and-excess
A reproducible causal machine-learning pipeline for estimating stage-specific potato-yield responses to water deficit and excess, diagnosing empirical overlap, and translating dose–response estimates into irrigation decision-support indicators.
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
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- PossiblePossibly related (embedding) · 48%Agriculture is ready for AI, but its data isn’t →
- PossiblePossibly related (embedding) · 46%University of Tokyo and Kubota Develop Drone Potato Yield Prediction Method - Dronelife →
- PossiblePossibly related (embedding) · 51%Operational evidence standards for machine learning in wastewater treatment - Nature →
