Spatio-Temporal Estimation of Biomass Growth in Rice Using Canopy Surface Model from Unmanned Aerial Vehicle Images. - Clement Oppong Peprah; Megumi Yamashita; Tomoaki Yamaguchi; Ryo Sekino; Kyohei Takano; Keisuke Katsura (Remote. Sens., 2021)

Feasibility of Combining Deep Learning and RGB Images Obtained by Unmanned Aerial Vehicle for Leaf Area Index Estimation in Rice. - Tomoaki Yamaguchi; Yukie Tanaka; Yuto Imachi; Megumi Yamashita; Keisuke Katsura (Remote. Sens., 2021)

A novel neural network model to achieve generality for diverse morphologies and crop science interpretability in rice biomass estimation. - Tomoaki Yamaguchi; Keisuke Katsura (Comput. Electron. Agric., 2024)

Spatial Estimation of Daily Growth Biomass in Paddy Rice Field Using Canopy Photosynthesis Model Based on Ground and UAV Observations. - Megumi Yamashita; Tomoya Kaieda; Hiro Toyoda; Tomoaki Yamaguchi; Keisuke Katsura (Remote. Sens., 2024)

Global Rice Multi-Class Segmentation Dataset (RiceSEG): A Comprehensive and Diverse High-Resolution RGB-Annotated Images for the Development and Benchmarking of Rice Segmentation Algorithms. - Junchi Zhou; Haozhou Wang; Yoichiro Kato; Tejasri Nampally; P. Rajalakshmi; M. Balram; Keisuke Katsura; Hao Lu; Yue Mu; Wanneng Yang; Yangmingrui Gao; Feng Xiao; et al. (CoRR, 2025)