DIRT
Root analyzer
Automates root trait analysis from images of monocot and dicot roots using computer vision and image processing techniques.
Digital Imaging of Root Traits: Extract trait measurements from images of monocot and dicot roots.
25 stars
7 watching
18 forks
Language: Python
last commit: about 1 year ago
Linked from 1 awesome list
computer-visimage-processingimagingphenotypingphenotyping-algorithmsroot
hallvaaw/awesome-biological-image-analysisRelated projects:
| Repository | Description | Stars |
|---|---|---|
 abe404/root_painter | An open-source tool for training deep learning models for image analysis | 58 |
 gregor-mendel-institute/aradeepopsis | A tool for extracting phenotypic measurements from plant images using deep learning and computer vision techniques | 41 |
 predictivephenomics/rhizovisionexplorer | An image analysis software for extracting plant root features from images | 14 |
 danforthcenter/plantcv | An image analysis software package for plant phenotyping, providing a modular architecture and flexible workflow for various analysis techniques. | 662 |
 planteome/plant-trait-ontology | A standardized ontology for describing plant traits and their characteristics. | 39 |
 jberry47/ddpsc_phenotypercv | A header-only C++11 library that provides image processing functionality for plant phenotyping using OpenCV. | 4 |
 p2irc/deepplantphenomics | A Python-based platform for plant phenotyping using deep learning and neural networks. | 135 |
 kreshuklab/plant-seg | A tool for cell instance aware segmentation in densely packed 3D volumetric images | 97 |
 plant-root-soil-interactions-modelling/cplantbox | A Python-based platform for simulating and visualizing plant growth, soil dynamics, and water flow in high-resolution 8K resolution | 52 |
 jgrss/cultionet | A deep learning library for image segmentation of cultivated land from satellite data | 26 |
 dib-lab/2012-paper-diginorm | Provides source code and analysis pipeline for evaluating an image normalization technique using publicly available data | 8 |
 gwgundersen/dpcca | Develops a method to learn shared latent structure between biomedical images and gene expression data | 25 |
 ncss-tech/aqp | A suite of R packages for quantitative analysis of soil profile data | 54 |
 chguiterman/dfoliatr | An R package for analyzing tree-ring data to identify insect defoliators and disturbances in forests | 7 |
 weecology/deeptreeattention | An implementation of a deep learning model for tree species classification from hyperspectral images | 118 |