We focus on developing techniques that will advance all aspects of phenotyping from the cell to the population levels using innovative combinations of sensing systems and data analytics.
Here is the projects we have made:
UTokyo-FieldPhenomics-Lab
Education/Publication materials
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P2PNet-Soy
P2PNet-Soy PublicSoybean seed localization and counting based on dot annotated infield images
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EasyDCP
EasyDCP PublicForked from oceam/EasyDCP
A python package for agricultural phenotypic trait extraction from 2D image sets via 3D reconstruction and analysis of 3D point clouds.
Repositories
Showing 10 of 57 repositories
- potato-sprout-tracking Public
Code and original sample point clouds for potato sprout tip detection, temporal tracking and active-sprout phenotyping.
- EasyIDP Public
A handy tool for dealing with region of interest (ROI) on the image reconstruction (Metashape & Pix4D) outputs, mainly in agriculture applications
- SPROUT Public
- LotusPollinatorRecognition Public
- EasyAMS Public
A GUI plugin tool for Agisoft Metashape with extended functions for smart agriculture.
- AgriTesseract Public
Bring aerial field phenotyping into higher dimensions with modern fluent UI Design.
- GrainCountingP2PNet Public
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