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 proceedingConference contribution

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 languageEnglish
Title of host publicationPhotonic Fiber and Crystal Devices
Subtitle of host publicationAdvances in Materials and Innovations in Device Applications XIII
EditorsShizhuo Yin, Ruyan Guo
PublisherSPIE
ISBN (Electronic)9781510629394
DOIs
Publication statusPublished - 2019 Jan 1
EventPhotonic Fiber and Crystal Devices: Advances in Materials and Innovations in Device Applications XIII 2019 - San Diego, United States
Duration: 2019 Aug 112019 Aug 12

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11123
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferencePhotonic Fiber and Crystal Devices: Advances in Materials and Innovations in Device Applications XIII 2019
CountryUnited States
CitySan Diego
Period19-08-1119-08-12

Fingerprint

labor
Laser
costs
Lasers
Costs
planting
Personnel
unmanned ground vehicles
Unmanned Ground Vehicle
lasers
Fibrosis
Unmanned vehicles
fibrosis
soybeans
Ground vehicles
Image recognition
Image Recognition
Necessary
Soybean
Shortage

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Chang, C. Y., Chang, C. Y., Huang, X. N., Huang, T. C., Wu, C. Y., Chang, T. W., ... 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 [111230X] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11123). SPIE. https://doi.org/10.1117/12.2532014
Chang, Chia Yuan ; Chang, Chia Ying ; Huang, Xin Ni ; Huang, Tzu Cheng ; Wu, Chi Yuan ; Chang, Tsai Wei ; Lee, Yeun Chung ; Lu, Chun Lin ; Hsu, Ken Y. ; Chen, Kan Shu ; Weng, Tsui Hsia ; Chen, Shean Jen. / Smart laser weeding system. Photonic Fiber and Crystal Devices: Advances in Materials and Innovations in Device Applications XIII. editor / Shizhuo Yin ; Ruyan Guo. SPIE, 2019. (Proceedings of SPIE - The International Society for Optical Engineering).
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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.",
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}",
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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, 19-08-11. https://doi.org/10.1117/12.2532014

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

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 proceedingConference contribution

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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

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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.

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PB - SPIE

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Chang CY, Chang CY, Huang XN, Huang TC, Wu CY, Chang TW et al. Smart laser weeding system. In Yin S, Guo R, editors, Photonic Fiber and Crystal Devices: Advances in Materials and Innovations in Device Applications XIII. SPIE. 2019. 111230X. (Proceedings of SPIE - The International Society for Optical Engineering). https://doi.org/10.1117/12.2532014