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 1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 8月 11 → 2019 8月 12 |
出版系列
| 名字 | Proceedings of SPIE - The International Society for Optical Engineering |
|---|---|
| 卷 | 11123 |
| ISSN(列印) | 0277-786X |
| ISSN(電子) | 1996-756X |
Conference
| Conference | Photonic Fiber and Crystal Devices: Advances in Materials and Innovations in Device Applications XIII 2019 |
|---|---|
| 國家/地區 | United States |
| 城市 | San Diego |
| 期間 | 19-08-11 → 19-08-12 |
UN SDG
此研究成果有助於以下永續發展目標
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SDG 2 消除飢餓
All Science Journal Classification (ASJC) codes
- 電子、光磁材料
- 凝聚態物理學
- 電腦科學應用
- 應用數學
- 電氣與電子工程
指紋
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