A Next-Gen Agentic AI e-Service with Augmented Reality for Real-Time Timber Properties Assessment

Article
A Next-Gen Agentic AI e-Service with Augmented Reality for Real-Time Timber Properties Assessment
Authors :
Vasiliki Chrysikou
University of Thessaly, 43100, Karditsa, Thessaly, Greece
,
Anthony Karageorgos
Anthony Karageorgos
University of Thessaly, 43100, Karditsa, Thessaly, Greece
https://orcid.org/0000-0002-4295-6719
,
Vassilis C. Gerogiannis
Vassilis C. Gerogiannis
University of Thessaly, 45300, Larissa, Thessaly, Greece
https://orcid.org/0000-0002-9895-7606
,
Georgios Ntalos
University of Thessaly, 43100, Karditsa, Thessaly, Greece
Pervasive Digital Services for People’s Well-

原文链接:https://dl.acm.org/doi/abs/10.1007/978-3-032-06164-5_22

Forestry & Wood Market by Product Type (Engineered Wood, Lumber, Wood Pellets), Species (Hardwood, Softwood), Application, End User, Distribution Channel – Global Forecast 2026-2032

value, lower-impact products.
Cumulative Impact of Artificial Intelligence on Forestry & Wood
Artificial intelligence is creating cumulative impact across the forestry & wood value chain by improving decision-making, operational efficiency, risk detection, and product quality. In forest management, AI models combined with satellite imagery, LiDAR, drones, climate datasets, and ground-based sensors can support forest inventory, biomass estimation, tree health assessment, species classification, harvest planning, wildfire risk mapping, and pest or disease detection. These tools enable more frequ

原文链接:https://www.360iresearch.com/library/intelligence/forestry-wood

Q&A with Melissa Cregger: From field to factory with precision crops – Oak Ridge National Lab

y work on solutions for non-food plants that grow faster and larger, are resistant to drought and disease and are engineered to produce targeted end-products.
She discussed recent CBI discoveries, why the center is expanding into new plant feedstocks like pine and eucalyptus, and how automation and AI can accelerate the path from genetic insight to factory-ready plants. The use of AI and robotics is a cornerstone of the DOE Genesis Mission, a national initiative to build the world’s most powerful scientific platform to accelerate discovery science, strengthen national security, and drive ene

原文链接:https://www.ornl.gov/news/qa-melissa-cregger-field-factory-precision-crops/

Bringing AI to the field: How UNaF students in Argentina tested Timbeter on native quebracho logs | Timbeter Blog

Case studies
Bringing AI to the field: How UNaF students in Argentina tested Timbeter on native quebracho logs
January 26, 2026
What happens when future forestry engineers meet artificial intelligence in the middle of a log yard? At the Universidad Nacional de Formosa (UNaF) in Argentina, the answer was a hands-on academic project that brought Timbeter into real field conditions for the first time in their forestry program. The goal was clear: evaluate how well an AI-powered measurement tool performs on native species—specifically quebracho colorado (Schinopsis balansae)—and compare it to

原文链接:https://timbeter.com/blog/bringing-ai-to-the-field-how-unaf-students-in-argentina-tested-timbeter-on-native-quebracho-logs/

木とAIが出会うとき

2025年05月01日
コラム
木とAIが出会うとき
情報・テクノロジー
環境
経済
工学部
木と3次元加工とAIの交差点で生まれるコトづくり
筆者は2025年4月から新たに始まった日本福祉大学工学部にて、木を使った建築の設計、研究、教
育に取り組んでいます。木という素材は、古来より人間の暮らしに深く根ざしてきた、最も身近な自然素材の一つといえます。近年では、3次元加工技術、特にCNC(コンピュータ数値制御)ルーターや、3Dプリンターの登場に

原文链接:https://www.n-fukushi.ac.jp/next-wellbeing/media/column/007355/

Woodot: An AI-Driven Mobile Robotic System for Sustainable Defect Repair in Custom Glulam Beams

Woodot: An AI-Driven Mobile Robotic System for Sustainable Defect Repair in Custom Glulam Beams
Author
Listed:
Pierpaolo Ruttico
(Indexlab, Polo di Lecco, Politecnico di Milano, 23900 Lecco, Italy
These authors contributed equally to this work.)
Federico Bordoni
(Indexlab, Polo di Lecco, Politecnico di Milano, 23900 Lecco, Italy
These authors contributed equally to this work.)
Matteo Deval
(Indexlab, Polo di Lecco, Politecnico di Milano, 23900 Lecco, Italy
These authors contributed equally to this work.)
Registered:
Abstract
Defect repair on custom-curved glulam beams is still performed manual

原文链接:https://ideas.repec.org/a/gam/jsusta/v17y2025i12p5574-d1681029.html

$1.5 million AFWI investment to advance autonomous forestry machinery and boost sustainable wood production

d a very high need for precision, because if you spray the wrong chemical in the wrong place, you can kill the tree,” Daryl said.
Project lead Daryl Killin next to a bunya pine
The technology integrates high-resolution Global Navigation Satellite Systems (GNSS), LiDAR, inertial sensors (IMU), and AI-based obstacle detection, building on proven control technology developed by project partners. This geospatial backbone will enable not only robotic weed control, but also future applications such as inventory assessment, fire management, and forest monitoring.
Australia’s forestry sector is un

原文链接:https://student.usc.edu.au/research/forest-research-institute/highlighted-research-projects/15-million-afwi-investment-to-advance-autonomous-forestry-machinery-and-boost-sustainable-wood-production

[信息时报] 广东五个林业信息化案例入选全国林草信息化领域典型

[信息时报] 广东五个林业信息化案例入选全国林草信息化领域典型
发布日期:2025-12-19
来源:信息时报
近日,国家林业和草原局公布全国林草信息化领域典型案例,其中,广东省生态公益林专题监测系统、广东省林草湿虚拟仿真与
三维可视化平台、“云安易采”林木采伐小程序、广州智慧绿化平台、基于人工智能的林业园林专业AI应用等五个典型案例入选,案例涵盖了综合平台、专项管理、新技术应用与政务服务等多个类别,充分展现了广东在林草数字化

原文链接:https://lyj.gd.gov.cn/news/Media/content/post_4831829.html

Convolutional neural networks for quality and species sorting of roundwood with image and numerical data | Expert Systems with Applications: An International Journal

lights the potential of Machine Learning in augmenting the roundwood sorting processes and presents a novel system that can improve the efficiency and accuracy of the process.
Graphical abstract
Display Omitted
Highlights
•
Automation of roundwood sorting: Replaces manual sorting with image-based AI.
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Integrated camera system in roundwood sorting to collect labeled dataset.
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Species prediction: 91% accuracy in spruce–fir distinction.
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Quality prediction on complexity reduced dataset: 80% accuracy between three main quality levels.
•
Efficient, adaptable & scalable system whi

原文链接:https://dl.acm.org/doi/10.1016/j.eswa.2023.123117

Kodama Raises $7 Million to Scale Physical AI for Forestry | The Manila Times

TMT Newswire GlobeNewswire
Kodama Raises $7 Million to Scale Physical AI for Forestry
By GlobeNewswire
October 20, 2026
Company expands commercial deployments while advancing the integrated hardware, software, and data platform powering intelligent forestry operations
SAN FRANCISCO, Oct. 19, 2026 (GLOBE NEWSWIRE) — Kodama, a robotics company building physical AI for forestry, today announced $7 million in financing co-led by Konvoy Ventures and Breakwater Ventures. The round includes participation from Blue Forest Asset Management, NYA Ventures, Breakthrough Energy Ventures, Congruent Ventu

原文链接:https://www.manilatimes.net/2026/10/20/tmt-newswire/globenewswire/kodama-raises-7-million-to-scale-physical-ai-for-forestry/2449036