Proceedings of the 6th EAI International Conference on IoT in Urban Space, Urb-IoT 2021, 20-21 December 2021, Shenzhen, People’s Republic of China

Research Article

Fruit classification method based on deep learning

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  • @INPROCEEDINGS{10.4108/eai.20-12-2021.2315013,
        author={wang  xuemei},
        title={Fruit classification method based on deep learning},
        proceedings={Proceedings of the 6th EAI International Conference on IoT in Urban Space, Urb-IoT 2021, 20-21 December 2021, Shenzhen, People’s Republic of China},
        publisher={EAI},
        proceedings_a={EAI URB-IOT},
        year={2022},
        month={5},
        keywords={image recognition deep learning fruit classification},
        doi={10.4108/eai.20-12-2021.2315013}
    }
    
  • wang xuemei
    Year: 2022
    Fruit classification method based on deep learning
    EAI URB-IOT
    EAI
    DOI: 10.4108/eai.20-12-2021.2315013
wang xuemei1,*
  • 1: Southwest University of Science and Technology
*Contact email: zty221@126.com

Abstract

Image recognition is a typical application in the field of pattern recognition. How to accurately and quickly carry out image recognition has always been an important topic for scholars all over the world. Fruit image recognition plays an important role in the field of intelligent agriculture and digital medicine. In the aspect of smart agriculture, the accurate cultivation of fruit trees in compound orchards and automatic fruit picking can be realized through the identification of fruits; In the field of digital medicine, fruit recognition is mainly used to assist the analysis of fruit nutrients in the later stage, so as to help patients formulate a reasonable diet.Therefore, based on the in-depth study of deep learning theory, this paper applies deep learning to fruit image recognition, so as to improve the recognition performance of fruit image.