E3S Web Conf.
Volume 193, 2020International Conference on Modern Trends in Manufacturing Technologies and Equipment (ICMTMTE 2020)
|Number of page(s)||8|
|Published online||08 October 2020|
Influence of intensity of illumination on weed recognition algorithm
Federal Scientific Agroengineering Center VIM, Moscow, 1st Institutsky passage, 5, Russia
* Corresponding author: email@example.com
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.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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