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

研究成果: Conference contribution

摘要

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.

原文English
主出版物標題Photonic Fiber and Crystal Devices
主出版物子標題Advances in Materials and Innovations in Device Applications XIII
編輯Shizhuo Yin, Ruyan Guo
發行者SPIE
ISBN(電子)9781510629394
DOIs
出版狀態Published - 2019 一月 1
事件Photonic Fiber and Crystal Devices: Advances in Materials and Innovations in Device Applications XIII 2019 - San Diego, United States
持續時間: 2019 八月 112019 八月 12

出版系列

名字Proceedings of SPIE - The International Society for Optical Engineering
11123
ISSN(列印)0277-786X
ISSN(電子)1996-756X

Conference

ConferencePhotonic Fiber and Crystal Devices: Advances in Materials and Innovations in Device Applications XIII 2019
國家United States
城市San Diego
期間19-08-1119-08-12

All Science Journal Classification (ASJC) codes

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

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