Open access
Sep 2026
An Optimized Temporal Attention-based Deep Learning Framwork for Accurate Crop Yield Prediction from Multi-source Agricultural Data
The proposed model learns the sequential and temporal dependencies from both past and future time steps simultaneously, from the historical weather variables, soil properties, remote sensing derived normalized difference vegetation indices (NDVI) and historical yield data.
M. Lokeshwari, Nivethitha Manavalagan, P. Amrutha et al.
· Agricultural Science Digest... · 0 citations