ArticleFrontiers in plant science2020
The XyloTron: Flexible, Open-Source, Image-Based Macroscopic Field Identification of Wood Products.
Article in Frontiers in plant science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- IC4SD-Wood-Eucalyptus: A macroscopic transverse-section image dataset with metadata, split manifests, and leakage-audit reports forData in brief · 2026Article
- A comprehensive benchmark of multi-generation YOLO architectures for forest species identification from macroscopic wood images.Scientific reports · 2026Article
- TreeHelper: A Wood Transport Authorization and Monitoring System.Sensors (Basel, Switzerland) · 2025Article
- Visible/near-infrared hyperspectral imaging combined with machine learning for identification of tenFrontiers in plant science · 2024Article
- How to discriminate wood of CITES-listed tree species from their look-alikes: using an attention mechanism with the ResNet model on an enhanced macroscopic image dataset.Frontiers in plant science · 2024Article
- SmartWoodID-an image collection of large end-grain surfaces to support wood identification systems.Database : the journal of biological databases and curation · 2023Article
- Improved wood species identification based on multi-view imagery of the three anatomical planes.Plant methods · 2022Article
- Polishing entire stems and roots using sandpaper under water: An alternative method for macroscopic analyses.Applications in plant sciences · 2021Article
- Towards Sustainable North American Wood Product Value Chains, Part I: Computer Vision Identification of Diffuse Porous Hardwoods.Frontiers in plant science · 2021Article
- Field-Deployable Computer Vision Wood Identification of Peruvian Timbers.Frontiers in plant science · 2021Article
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Authors and funding
4 authors.
Funding
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Abstract
Forests, estimated to contain two thirds of the world's biodiversity, face existential threats due to illegal logging and land conversion. Efforts to combat illegal logging and to support sustainable value chains are hampered by a critical lack of affordable and scalable technologies for field-level inspection of wood and wood products. To meet this need we present the XyloTron, a complete, self-contained, multi-illumination, field-deployable, open-source platform for field imaging and identification of forest products at the macroscopic scale. The XyloTron platform integrates an imaging system built with off-the-shelf components, flexible illumination options with visible and UV light sources, software for camera control, and deep learning models for identification. We demonstrate the capabilities of the XyloTron platform with example applications for automatic wood and charcoal identification using visible light and human-mediated wood identification based on ultra-violet illumination and discuss applications in field imaging, metrology, and material characterization of other substrates.
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