JpGU-AGU Joint Meeting 2026

Presentation information

[E] Poster

A (Atmospheric and Hydrospheric Sciences ) » A-TT Technology &Techniques

[A-TT49] Machine Learning Techniques in Weather, Climate, Ocean, Hydrology and Disease Predictions

Wed. May 27, 2026 5:15 PM - 7:00 PM Poster Hall (Exhibition Hall 7&8, Makuhari Messe)

5:15 PM - 7:00 PM

[ATT49-P04] Rice Yield Prediction Using Machine Learning and Unmanned Aerial Vehicle-based Red Green Blue Imagery

Bagaskara Made Ngurah Bayu Abdi Pande1, *Julien Eric Boulange1 (1. Tokyo University of Agriculture and Technology)

Keywords:Rice, Yield, UAVs, Machine learning