Fusion of UAV-based 3D mesh and spectral features improves quinoa biomass and LAI estimation across genotypic and temporal variations
2025 · Smart Agricultural Technology · 3 citations
https://doi.org/10.1016/j.atech.2025.100818
T
Tomoaki Yamaguchi
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8
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6
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Tomoaki Yamaguchi is an academic researcher. The author has contributed to research in topics: Remote Sensing in Agriculture & Smart Agriculture and AI & Remote Sensing and LiDAR Applications. The author has an h-index of 8, co-authored 30 publications.
ORCID: 0009-0004-9900-4091Papers by this author
worksRobustness of the RGB image-based estimation for rice above-ground biomass by utilizing the dataset collected across multiple locations
2025 · Smart Agricultural Technology · 2 citations
https://doi.org/10.1016/j.atech.2025.100998
Biomass estimation of World rice (<i>Oryza sativa</i> L.) core collection based on the convolutional neural network and digital images of canopy
2023 · Figshare · 0 citations
https://doi.org/10.6084/m9.figshare.22816127
Improving efficiency of ground-truth data collection for UAV-based rice growth estimation models: investigating the effect of sampling size on model accuracy
2024 · Figshare · 0 citations
https://doi.org/10.6084/m9.figshare.24947487
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