Influence of intensity of illumination on weed recognition algorithm
| Autor: | Mirzaev M. A., Dyshekov A.I., Smirnov I.G. |
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| Jazyk: | English<br />French |
| Rok vydání: | 2020 |
| Předmět: | |
| Zdroj: | E3S Web of Conferences, Vol 193, p 01058 (2020) |
| Druh dokumentu: | article |
| ISSN: | 2267-1242 93266545 |
| DOI: | 10.1051/e3sconf/202019301058 |
| Popis: | This study explores the influence of daylight illumination on operating of autonomous robotic weed control complex. The illumination value is taken from minimum on the order of a few lux (high overcast) to maximum exceeding one hundred twenty thousand lux (bright noon). This was done to cover the entire daylight illumination range. This experiment is not focused on operating of the algorithm using the artificial light sources since they are supposed to be easily adjusted with the proper equipment. The performance of the algorithm at various illumination levels is evaluated by the surface area of the recognized beet crops on early stages of growth. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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