Classification of Fruits Based on Convolutional Neural Networks

Shaoyang Zhang

2023

Abstract

Large-scale agricultural electrification and automation are inseparable from the assistance of computer science. However, traditional automation equipment is mainly used in relatively single operations that do not require identification or rely on manual classification and identification. An improvement to this condition is to provide electronic devices with higher-accuracy automatic classification capabilities. Image recognition technology is an essential part of this improvement. Convolutional neural network is a commonly used and effective technology to achieve image recognition. Therefore, this paper takes fruit as an example and uses some models based on convolutional networks for recognition and classification. The paper uses some relatively accurate methods and achieves high accuracy in recognizing images containing a single fruit. However, one of the problems of this paper is that the paper does not cover the processing and recognition of complex images. The model in this article may have some flaws in complex real-life situations. Improvements to this problem include obtaining more complex data sets and model modifications.

Paper Citation

in Harvard Style

Zhang S. (2023). Classification of Fruits Based on Convolutional Neural Networks. In Proceedings of the 1st International Conference on Data Analysis and Machine Learning - Volume 1: DAML; ISBN 978-989-758-705-4, SciTePress, pages 361-366. DOI: 10.5220/0012815100003885

in Bibtex Style

@conference{daml23,
author={Shaoyang Zhang},
title={Classification of Fruits Based on Convolutional Neural Networks},
booktitle={Proceedings of the 1st International Conference on Data Analysis and Machine Learning - Volume 1: DAML},
year={2023},
pages={361-366},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012815100003885},
isbn={978-989-758-705-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Data Analysis and Machine Learning - Volume 1: DAML
TI - Classification of Fruits Based on Convolutional Neural Networks
SN - 978-989-758-705-4
AU - Zhang S.
PY - 2023
SP - 361
EP - 366
DO - 10.5220/0012815100003885
PB - SciTePress