Hybrid AI Models and Synthetic Coherence for SAR-Based Rice Yield Modelling in Northwest Selangor, Malaysia.

SITI AISHAH  MOHAMMAD RASIT

Presentation information

[E] Oral

U (Union ) » Union

[U-06] Satellites, Societies, and Sustainability

Thu. May 28, 2026 10:45 AM - 12:15 PM Exhibition Hall Special Setting (1) (Exhibition Hall 7&8, Makuhari Messe)

Chairperson:Usman Muhammad(College of Natural and Health Sciences, Zayed University, UAE), Abe Takahiro(Field Science Education and Research Center, Kyoto University)

11:30 AM - 11:45 AM

[U06-09] Hybrid AI Models and Synthetic Coherence for SAR-Based Rice Yield Modelling in Northwest Selangor, Malaysia.

*SITI AISHAH MOHAMMAD RASIT¹, ABDUL RASHID - MOHAMMED SHARIFF¹ (1. Department of Biological and Agricultural Engineering, Faculty of Engineering, Universiti Putra Malaysia, 43400 Serdang, Selangor)

Keywords:SAR Remote Sensing, RADARSAT-2, Rice Yield Prediction, Synthetic Coherence, Machine and Deep Learning, Above-Ground Biomass