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
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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 50 repositories
- GrainCountingP2PNet Public
UTokyo-FieldPhenomics-Lab/GrainCountingP2PNet’s past year of commit activity - EasyAMS Public
A GUI plugin tool for Agisoft Metashape with extended functions for smart agriculture.
UTokyo-FieldPhenomics-Lab/EasyAMS’s past year of commit activity - EasyIDP Public
A handy tool for dealing with region of interest (ROI) on the image reconstruction (Metashape & Pix4D) outputs, mainly in agriculture applications
UTokyo-FieldPhenomics-Lab/EasyIDP’s past year of commit activity - FIELDimagePy-QGIS Public
A native QGIS python plugin alternative for FIELDImageR-QGIS without R dependencies
UTokyo-FieldPhenomics-Lab/FIELDimagePy-QGIS’s past year of commit activity
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