標題: | Smart Laser Weeding System |
作者: | 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 交大名義發表 光電學院 光電工程學系 National Chiao Tung University College of Photonics Department of Photonics |
關鍵字: | Weeds;image recognition;image positioning technology;agriculture development |
公開日期: | 1-Jan-2019 |
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. |
URI: | http://dx.doi.org/10.1117/12.2532014 http://hdl.handle.net/11536/154469 |
ISBN: | 978-1-5106-2940-0 |
ISSN: | 0277-786X |
DOI: | 10.1117/12.2532014 |
期刊: | PHOTONIC FIBER AND CRYSTAL DEVICES: ADVANCES IN MATERIALS AND INNOVATIONS IN DEVICE APPLICATIONS XIII |
Volume: | 11123 |
起始頁: | 0 |
結束頁: | 0 |
Appears in Collections: | Conferences Paper |