| Issue |
MATEC Web Conf.
Volume 329, 2020
International Conference on Modern Trends in Manufacturing Technologies and Equipment: Mechanical Engineering and Materials Science (ICMTMTE 2020)
|
|
|---|---|---|
| Article Number | 05003 | |
| Number of page(s) | 7 | |
| Section | Agricultural Engineering | |
| DOI | https://doi.org/10.1051/matecconf/202032905003 | |
| Published online | 26 November 2020 | |
Research of algorithms for recognizing and determining the coordinates of apple fruits on the crown of a tree
1 Federal Scientific Agroengineering Center VIM, 109428, Russia, Moscow, 1st Institutsky proezd, 5
* Corresponding author: rashn-smirnov@yandex.ru
This paper presents the results of a study of the Apple fruit recognition system on the crown of a tree based on the use of an artificial neural network (ANN). The article describes the process of conducting a multi-factor experiment to determine the relationship between the operating conditions of ANN: illumination, shooting distance, photo resolution, and determining their optimal parameters that allow obtaining the highest quality results. The obtained mathematical model reflects the relationship of such factors as illumination, distance to the object, shooting resolution and their influence on the reliability (accuracy) of object recognition in the photo. The optimal parameters of these factors are determined, at which the maximum value of recognition reliability of the desired objects is reached.
© 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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