UTokyo-FieldPhenomics-Lab

UTokyo-FieldPhenomics-Lab

Organization data from Github https://github.com/UTokyo-FieldPhenomics-Lab

Education/Publication materials

Location:Tokyo

Home Page:https://lab.fieldphenomics.com/

GitHub:@UTokyo-FieldPhenomics-Lab

UTokyo-FieldPhenomics-Lab's repositories

EasyIDP

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

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P2PNet-Soy

Soybean seed localization and counting based on dot annotated infield images

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DODA

Diffusion for Object-detection Domain Adaptation in Agriculture

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corepp

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

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DeepWDT

Automatic waggle dance translation using AI.

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MSANet

Heatmap-based Soybean Seed Counting

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PatchSegSynth

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

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global-wheat.github.io

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

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mlcas2021.github.io

The official website for mlcas 2021 conference (https://mlcas2021.github.io)

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mlcas2023.github.io

The official website for mlcas 2023 conference (https://2023.mlcas.site)

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PotatoScan

Software for yield estimation of potato tubers on a harvester

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awesome-data-labeling

A curated list of awesome data labeling tools

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EasyAMS

A GUI plugin tool for Agisoft Metashape with extended functions for smart agriculture.

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EasyDAM

Easy DAM for deep learning-based fruit detection

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EasyDAM_dataset

EasyDAM_dataset

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global-rice.github.io

The website for global-rice project

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GrapeCPNet

LaTeX document for Computers and Electronics in Agriculture

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mlcas2018.github.io

redirect for mlcas 2018 conference

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mlcas2019.github.io

redirect for mlcas 2019 conference

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mlcas2022.github.io

redirect mlcas 2022 conference

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mlcas2024.github.io

The official website for mlcas 2024 conference

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mlcas2025.github.io

The official website for mlcas 2024 conference

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orange-dataset

orange dataset for fruit counting

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VegAnn

Repository of the VegAnn Dataset

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