Lav Khot — accepted AI-conference papers

2026

A Hybrid Modeling Framework for Crop Prediction Tasks via Dynamic Parameter Calibration and Multi-Task Learning

William Solow, Paola Pesantez-Cabrera, Markus Keller, Lav Khot, Sandhya Saisubramanian, Alan Fern

IJCAI 2026

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 management to optimize crop yield and quality. While traditional biophysical models can be used for season-long predictions,

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2026

Localized Near Surface Temperature Inversion Forecasting Using Long Short-Term Memory

Taylor Dinkins, Weng-Keen Wong, Basavaraj Amogi, Paola Pesantez-Cabrera, Jaitun Patel, Lav Khot +1

AAAI 2026technical

Near surface temperature inversions are periods in which a low layer of warm air is trapped between cooler air higher up in the atmosphere and dense cooler air below it near the surface level. By causing cooler air to pool near the surface level, inversions can have detrimental effects for crop grow

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