Smart laser weeding system

Chia Yuan Chang; Chia Ying Chang; Xin Ni Huang; Tzu Cheng Huang; Chi Yuan Wu; Tsai Wei Chang; Yeun Chung Lee; Chun Lin Lu; Ken Y. Hsu; Kan Shu Chen; Tsui Hsia Weng; Shean Jen Chen

doi:10.1117/12.2532014

Smart laser weeding system

Chia Yuan Chang, Chia Ying Chang, Xin Ni Huang, Tzu Cheng Huang, Chi Yuan Wu, Tsai Wei Chang, Yeun Chung Lee, Chun Lin Lu, Ken Y. Hsu, Kan Shu Chen, Tsui Hsia Weng, Shean Jen Chen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Mechanical weeding is a necessary means to produce organic soybean in vast area and is the most effective for seedling of weed. However, the growth of weed is inconsistent; we must rely on the quantity of closely weeding to achieve the expected results. Organic cultivation adopts strip planting to reduce the cost of weeding, and uses the cultivator to remove weeds. This operation is slow and with high cost, and the artificial weeding is necessary in the later stage. In contrast, the field weeding robot can provide mechanical or physical prevention of weeds via monitor and image analysis. Therefore, this study aims to effectively increase production and solve the problems of labor shortage and high cost on labors by combining an unmanned ground vehicle with a developing smart laser weeding system for autonomous precise weeding. An intelligent image recognition is adopted to identify the position of the weed, and then through the laser tissue fibrosis to achieve the goal of precise weeding.

Original language	English
Title of host publication	Photonic Fiber and Crystal Devices
Subtitle of host publication	Advances in Materials and Innovations in Device Applications XIII
Editors	Shizhuo Yin, Ruyan Guo
Publisher	SPIE
ISBN (Electronic)	9781510629394
DOIs	https://doi.org/10.1117/12.2532014
State	Published - 9 Sep 2019
Event	Photonic Fiber and Crystal Devices: Advances in Materials and Innovations in Device Applications XIII 2019 - San Diego, United States Duration: 11 Aug 2019 → 12 Aug 2019

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	11123
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	Photonic Fiber and Crystal Devices: Advances in Materials and Innovations in Device Applications XIII 2019
Country/Territory	United States
City	San Diego
Period	11/08/19 → 12/08/19

Keywords

Agriculture development.
Image positioning technology
Image recognition
Weeds

Access to Document

10.1117/12.2532014

Cite this

Chang, C. Y., Chang, C. Y., Huang, X. N., Huang, T. C., Wu, C. Y., Chang, T. W., Lee, Y. C., Lu, C. L., Hsu, K. Y., Chen, K. S., Weng, T. H., & Chen, S. J. (2019). Smart laser weeding system. In S. Yin, & R. Guo (Eds.), Photonic Fiber and Crystal Devices: Advances in Materials and Innovations in Device Applications XIII Article 111230X (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11123). SPIE. https://doi.org/10.1117/12.2532014

@inproceedings{d47598077bf04ff5aa46802412b2468a,

title = "Smart laser weeding system",

abstract = "Mechanical weeding is a necessary means to produce organic soybean in vast area and is the most effective for seedling of weed. However, the growth of weed is inconsistent; we must rely on the quantity of closely weeding to achieve the expected results. Organic cultivation adopts strip planting to reduce the cost of weeding, and uses the cultivator to remove weeds. This operation is slow and with high cost, and the artificial weeding is necessary in the later stage. In contrast, the field weeding robot can provide mechanical or physical prevention of weeds via monitor and image analysis. Therefore, this study aims to effectively increase production and solve the problems of labor shortage and high cost on labors by combining an unmanned ground vehicle with a developing smart laser weeding system for autonomous precise weeding. An intelligent image recognition is adopted to identify the position of the weed, and then through the laser tissue fibrosis to achieve the goal of precise weeding.",

keywords = "Agriculture development., Image positioning technology, Image recognition, Weeds",

author = "Chang, {Chia Yuan} and Chang, {Chia Ying} and Huang, {Xin Ni} and Huang, {Tzu Cheng} and Wu, {Chi Yuan} and Chang, {Tsai Wei} and Lee, {Yeun Chung} and Lu, {Chun Lin} and Hsu, {Ken Y.} and Chen, {Kan Shu} and Weng, {Tsui Hsia} and Chen, {Shean Jen}",

year = "2019",

month = sep,

day = "9",

doi = "10.1117/12.2532014",

language = "English",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

publisher = "SPIE",

editor = "Shizhuo Yin and Ruyan Guo",

booktitle = "Photonic Fiber and Crystal Devices",

address = "United States",

note = "Photonic Fiber and Crystal Devices: Advances in Materials and Innovations in Device Applications XIII 2019 ; Conference date: 11-08-2019 Through 12-08-2019",

}

Chang, CY, Chang, CY, Huang, XN, Huang, TC, Wu, CY, Chang, TW, Lee, YC, Lu, CL, Hsu, KY, Chen, KS, Weng, TH & Chen, SJ 2019, Smart laser weeding system. in S Yin & R Guo (eds), Photonic Fiber and Crystal Devices: Advances in Materials and Innovations in Device Applications XIII., 111230X, Proceedings of SPIE - The International Society for Optical Engineering, vol. 11123, SPIE, Photonic Fiber and Crystal Devices: Advances in Materials and Innovations in Device Applications XIII 2019, San Diego, United States, 11/08/19. https://doi.org/10.1117/12.2532014

Smart laser weeding system. / Chang, Chia Yuan; Chang, Chia Ying; Huang, Xin Ni et al.
Photonic Fiber and Crystal Devices: Advances in Materials and Innovations in Device Applications XIII. ed. / Shizhuo Yin; Ruyan Guo. SPIE, 2019. 111230X (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11123).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Smart laser weeding system

AU - Chang, Chia Yuan

AU - Chang, Chia Ying

AU - Huang, Xin Ni

AU - Huang, Tzu Cheng

AU - Wu, Chi Yuan

AU - Chang, Tsai Wei

AU - Lee, Yeun Chung

AU - Lu, Chun Lin

AU - Hsu, Ken Y.

AU - Chen, Kan Shu

AU - Weng, Tsui Hsia

AU - Chen, Shean Jen

PY - 2019/9/9

Y1 - 2019/9/9

N2 - Mechanical weeding is a necessary means to produce organic soybean in vast area and is the most effective for seedling of weed. However, the growth of weed is inconsistent; we must rely on the quantity of closely weeding to achieve the expected results. Organic cultivation adopts strip planting to reduce the cost of weeding, and uses the cultivator to remove weeds. This operation is slow and with high cost, and the artificial weeding is necessary in the later stage. In contrast, the field weeding robot can provide mechanical or physical prevention of weeds via monitor and image analysis. Therefore, this study aims to effectively increase production and solve the problems of labor shortage and high cost on labors by combining an unmanned ground vehicle with a developing smart laser weeding system for autonomous precise weeding. An intelligent image recognition is adopted to identify the position of the weed, and then through the laser tissue fibrosis to achieve the goal of precise weeding.

AB - Mechanical weeding is a necessary means to produce organic soybean in vast area and is the most effective for seedling of weed. However, the growth of weed is inconsistent; we must rely on the quantity of closely weeding to achieve the expected results. Organic cultivation adopts strip planting to reduce the cost of weeding, and uses the cultivator to remove weeds. This operation is slow and with high cost, and the artificial weeding is necessary in the later stage. In contrast, the field weeding robot can provide mechanical or physical prevention of weeds via monitor and image analysis. Therefore, this study aims to effectively increase production and solve the problems of labor shortage and high cost on labors by combining an unmanned ground vehicle with a developing smart laser weeding system for autonomous precise weeding. An intelligent image recognition is adopted to identify the position of the weed, and then through the laser tissue fibrosis to achieve the goal of precise weeding.

KW - Agriculture development.

KW - Image positioning technology

KW - Image recognition

KW - Weeds

UR - http://www.scopus.com/inward/record.url?scp=85074334453&partnerID=8YFLogxK

U2 - 10.1117/12.2532014

DO - 10.1117/12.2532014

M3 - Conference contribution

AN - SCOPUS:85074334453

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - Photonic Fiber and Crystal Devices

A2 - Yin, Shizhuo

A2 - Guo, Ruyan

PB - SPIE

T2 - Photonic Fiber and Crystal Devices: Advances in Materials and Innovations in Device Applications XIII 2019

Y2 - 11 August 2019 through 12 August 2019

ER -

Smart laser weeding system

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this