Academic Journal
Real‐World Deployment of a Dynamic Selective LASER Weeding System Using Multispectral Imagery
| Title: | Real‐World Deployment of a Dynamic Selective LASER Weeding System Using Multispectral Imagery |
|---|---|
| Authors: | Wane, Sam, Wang, Mingfeng, Butler, Matthew, Cheein, Fernando Auat |
| Contributors: | Wane, Sam 0000-0003-3810-2902, Wang, Mingfeng 0000-0001-6551-0325, Cheein, Fernando Auat 0000-0002-6347-7696 |
| Publisher Information: | Wiley on behalf of Zhejiang University Press |
| Publication Year: | 2026 |
| Collection: | Brunel University London: Brunel University Research Archive (BURA) |
| Subject Terms: | edge computing, embedded system, field robotics |
| Description: | Data Availability Statement: All relevant data are included within the article. ; The use of chemical treatments for weed control is increasingly challenged by weed resistance, regulatory restrictions on chemicals and the risk of soil and water contamination that can pose health hazards. Chemical weed treatments are unsustainable, prompting exploration of alternative methods such as boiling water, electrocution and directed fire. However, these approaches are limited: water-based treatments require a reliable water supply in the field, and electric or fire-based methods pose additional environmental risks. This work proposes a targeted light amplified stimulation of emission by radiation (LASER) treatment and selective spraying system integrated with automatic weed identification. The system, mounted on the rear of a tractor, utilises a bispectral imaging setup to distinguish weeds from crops. Close-to-crop weeds are automatically selected for LASER treatment, whereas a selective sprayer targets other weeds with a glyphosate globule. This integrated system approach is named ‘Hyperweeding’. The results demonstrate successful separation of row crops from weeds, achieving a contamination-free crop with a significant reduction in glyphosate usage, and effectively treating weeds at speeds of 0.1 m • s⁻¹. ; Technology Strategy Board. Grant Number: 101817, named Hyperweeding. |
| Document Type: | article in journal/newspaper |
| File Description: | pp. 1–8 |
| Language: | English |
| Relation: | IET Cyber-Systems and Robotics; https://bura.brunel.ac.uk/handle/2438/33551; https://doi.org/10.1049/csy2.70059; e70059 |
| DOI: | 10.1049/csy2.70059 |
| Availability: | https://bura.brunel.ac.uk/handle/2438/33551 https://doi.org/10.1049/csy2.70059 |
| Rights: | Creative Commons Attribution-NonCommercial 4.0 International ; https://creativecommons.org/licenses/by-nc/4.0/ ; https://creativecommons.org/licenses/by-nc/4.0/legalcode.en ; The Author(s) |
| Accession Number: | edsbas.DD33DF7D |
| Database: | BASE |
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