| Title: | GS4-1 Design and Modeling of an Automatic Cartesian Farming Robot |
|---|---|
| Publication: | ICAROB2020 |
| Volume: | 25 |
| Pages: | 448-451 |
| ISSN: | 2188-7829 |
| DOI: | 10.5954/ICAROB.2020.GS4-1 |
| Author(s): | Wisanu Jitviriya, Noppadol Pudchuen, Amornphun Phunopas, Eiji Hayashi |
| Publication Date: | January 13, 2020 |
| Keywords: | Smart farm, Cartesian robot, Weed detection |
| Abstract: | Currently, farming robots have become increasingly for households. The combination of modern technology and agriculture that is automatic system design, it is extremely accurate but also cost less than hiring human labor to work. All processes of the farming robot must be organic. The development of Cartesian Coordinate Robot (CCR) can operate in the multi-function such as tillage, applying fertilizer, sowing, and watering plants. In this research, which focuses on image processing to detect the plants and eliminate the weeds. The OpenCV library was used to detect the color green from the plant leaves, and from that, the program will do the rest. The elimination part of the system was constructed based on a brand-new idea. From all the experiments done, the conclusion looked promising, the blades were able to function at 80 percent efficiency. |
| PDF File: | https://alife-robotics.co.jp/members2020/icarob/data/html/data/GS/GS4/GS4-1.pdf |
| Copyright: | © The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/ |
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