Neural network for identifying apple fruits on the crown of a tree

To identify the fruits on the crowns of trees and count their number, a software and hardware complex (PAC) based on a technical vision system and a recurrent neural network of deep learning has been developed. The created neural network and class allocation algorithms allow the software and hardwar...

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Bibliographic Details
Published inE3S Web of Conferences Vol. 270; p. 1021
Main Authors Smirnov, Igor, Kutyrev, Alexey, Kiktev, Nikolay
Format Journal Article Conference Proceeding
LanguageEnglish
Published Les Ulis EDP Sciences 01.01.2021
Subjects
Algorithms
Computer programs
Foliage
Fruits
Hardware
Machine learning
Neural networks
Recurrent neural networks
Software
Video data
Vision systems
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Summary:To identify the fruits on the crowns of trees and count their number, a software and hardware complex (PAC) based on a technical vision system and a recurrent neural network of deep learning has been developed. The created neural network and class allocation algorithms allow the software and hardware complex to function stably in the conditions of industrial horticultural plantings, regardless of the size and interference of foliage, to determine the color of the fruit surface, to identify the presence of diseases and defects of fruits. The developed package provides digital monitoring of both photographic materials and video streams in online mode.
ISSN:2267-1242
2555-0403
2267-1242
DOI:10.1051/e3sconf/202127001021