3 papers
cs.LG2026
AirCast-SR: A Foundation Model for Kilometer-Scale Atmospheric Super-Resolution via Latent Consistency Diffusion
Somnath Luitel, Manmeet Singh, Joshua Durkee +11
Operational weather prediction at kilometer scales remains computationally prohibitive for traditional numerical weather prediction (NWP) models, limiting forecast access for appli…
cs.AI2026
AgriPINN: A Process-Informed Neural Network for Interpretable and Scalable Crop Biomass Prediction Under Water Stress
Yue Shi, Liangxiu Han, Xin Zhang +7
Accurate prediction of crop above-ground biomass (AGB) under water stress is critical for monitoring crop productivity, guiding irrigation, and supporting climate-resilient agricul…
cs.LG2025
Deep Learning Meets Process-Based Models: A Hybrid Approach to Agricultural Challenges
Yue Shi, Liangxiu Han, Xin Zhang +7
Process-based models (PBMs) and deep learning (DL) are two key approaches in agricultural modelling, each offering distinct advantages and limitations. PBMs provide mechanistic ins…