Abstract
In order to ensure recognizing crop row automatically with some robustness against noise environment and to confirm its possible intelligence for an agriculture mobile robot working in the fields, a crop row recognition method was presented by using genetic algorithm with surface-strip model to detect the crop row imaged in the gray scale image without any preprocessing. The accuracy and stability of the proposed visual recognition of crop raw with high robustness against noise such as sunlight condition varieties and obstacles were demonstrated by artificial image and real image scanning. The robustness of the method against environmental noises and the effectiveness of the method for real-time recognition have been verified by using real rural images.
| Original language | English |
|---|---|
| Pages (from-to) | 127-131 |
| Number of pages | 5 |
| Journal | Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery |
| Volume | 39 |
| Issue number | 6 |
| Publication status | Published - Jun 2008 |
| Externally published | Yes |
Keywords
- Agricultural robots
- Genetic algorithm
- Model-based matching
- Visual recognition
ASJC Scopus subject areas
- Agricultural and Biological Sciences(all)
- Mechanical Engineering