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@UTokyo-FieldPhenomics-Lab

UTokyo-FieldPhenomics-Lab

Education/Publication materials
README.md

Welcome to Laboratory of Field Phenomics at UTokyo

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:

Easy-Series Projects

EasyIDP EasyDCP EasyMPE EasyPCC_V2 EasyMIA easy-rfp

Webpage Projects

Popular repositories Loading

  1. EasyIDP EasyIDP Public

    A handy tool for dealing with region of interest (ROI) on the image reconstruction (Metashape & Pix4D) outputs, mainly in agriculture applications

    Python 47 6

  2. P2PNet-Soy P2PNet-Soy Public

    Soybean seed localization and counting based on dot annotated infield images

    Jupyter Notebook 25 2

  3. DODA DODA Public

    Diffusion for Object-detection Domain Adaptation in Agriculture

    Python 14

  4. EasyDCP EasyDCP Public

    Forked from oceam/EasyDCP

    A python package for agricultural phenotypic trait extraction from 2D image sets via 3D reconstruction and analysis of 3D point clouds.

    Python 12 4

  5. UAVPP UAVPP Public

    Breeder-Friendly-Plant-Phenotyping-tools-withUAV

    CSS 6 1

  6. UAVbroccoli UAVbroccoli Public

    Jupyter Notebook 4

Repositories

Showing 10 of 44 repositories
  • PatchSegSynth Public

    A Patch-Level Data Synthesis Pipeline Enhances Species-level Crop and Weed Segmentation in Natural Agricultural Scenes

    UTokyo-FieldPhenomics-Lab/PatchSegSynth’s past year of commit activity
    Python 0 0 0 0 Updated Dec 8, 2024
  • corepp Public

    CoRe++: High-Throughput 3D Shape Completion of RGB-D Images

    UTokyo-FieldPhenomics-Lab/corepp’s past year of commit activity
    Python 3 MIT 0 0 0 Updated Nov 29, 2024
  • DeepWDT Public

    Automatic waggle dance translation using AI.

    UTokyo-FieldPhenomics-Lab/DeepWDT’s past year of commit activity
    Python 2 MIT 0 0 0 Updated Nov 2, 2024
  • 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
    Python 47 MIT 6 27 0 Updated Nov 1, 2024
  • mlcas2024.github.io Public

    The official website for mlcas 2024 conference

    UTokyo-FieldPhenomics-Lab/mlcas2024.github.io’s past year of commit activity
    CSS 0 MIT 0 0 0 Updated Oct 3, 2024
  • UAVbroccoli Public
    UTokyo-FieldPhenomics-Lab/UAVbroccoli’s past year of commit activity
    Jupyter Notebook 4 MIT 0 0 0 Updated Sep 9, 2024
  • DODA Public

    Diffusion for Object-detection Domain Adaptation in Agriculture

    UTokyo-FieldPhenomics-Lab/DODA’s past year of commit activity
    Python 14 MIT 0 4 0 Updated Jul 17, 2024
  • MSANet Public

    Heatmap-based Soybean Seed Counting

    UTokyo-FieldPhenomics-Lab/MSANet’s past year of commit activity
    Jupyter Notebook 2 0 0 0 Updated Apr 5, 2024
  • global-wheat.github.io Public

    The website for global wheat dataset. https://www.global-wheat.com/

    UTokyo-FieldPhenomics-Lab/global-wheat.github.io’s past year of commit activity
    SCSS 0 MIT 0 0 0 Updated Apr 4, 2024
  • DomAda-FruitDet_dataset Public Forked from I3-Laboratory/DomAda-FruitDet_dataset
    UTokyo-FieldPhenomics-Lab/DomAda-FruitDet_dataset’s past year of commit activity
    0 2 0 0 Updated Jan 11, 2024
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