1 citations · 1 across the 6 of their papers we have counts for
6 papers
Cross-Regional Grapevine Cold Hardiness Prediction via Learned Multimodal Latent Representations
William Solow, Paola Pesantez-Cabrera, Markus Keller +3
Accurate daily predictions of cold hardiness in woody plants are critical in regions where freezing temperatures can damage dormant buds and reduce seasonal yield. Existing biophys…
Learning Action Models with Conditional and Quantified Effects via Uncertainty-Guided Exploration
Jeffrey Jewett, William Solow, Sandhya Saisubramanian
Accurate action models are critical for effective planning. Existing action-model learning methods largely assume simple action representations or become computationally intractabl…
A Hybrid Modeling Framework for Crop Prediction Tasks via Dynamic Parameter Calibration and Multi-Task Learning
William Solow, Paola Pesantez-Cabrera, Markus Keller +3
Accurate prediction of crop states (e.g., phenology stages and cold hardiness) is essential for timely farm management decisions such as irrigation, fertilization, and canopy manag…
Calibrating Biophysical Models for Grape Phenology Prediction via Multi-Task Learning
William Solow, Sandhya Saisubramanian
Accurate prediction of grape phenology is essential for timely vineyard management decisions, such as scheduling irrigation and fertilization, to maximize crop yield and quality. W…
Budgeted Online Active Learning with Expert Advice and Episodic Priors
Kristen Goebel, William Solow, Paola Pesantez-Cabrera +2
This paper introduces a novel approach to budgeted online active learning from finite-horizon data streams with extremely limited labeling budgets. In agricultural applications, su…
WOFOSTGym: A Crop Simulator for Learning Annual and Perennial Crop Management Strategies
William Solow, Sandhya Saisubramanian, Alan Fern
We introduce WOFOSTGym, a novel crop simulation environment designed to train reinforcement learning (RL) agents to optimize agromanagement decisions for annual and perennial crops…