Application of Deep Learning in Fruit Quality Detection and Grading

被引:7
|
作者
Tian, Youwen [1 ,2 ]
Wu, Wei [1 ,2 ]
Lu, Shiqian [1 ,2 ]
Deng, Hanbing [1 ,2 ]
机构
[1] College of Information and Electrical Engineering, Shenyang Agricultral University, Shenyang,110866, China
[2] Research Center of Liaoning Agricultural Informatization Engineering Technology, Shenyang,110866, China
来源
Shipin Kexue/Food Science | 2021年 / 42卷 / 19期
关键词
D O I
10.7506/spkx1002-6630-20200730-393
中图分类号
学科分类号
摘要
引用
收藏
页码:260 / 270
相关论文
共 50 条
  • [31] On-line detection research on manufactured sand grading based on deep learning
    Huang, Feizhi
    Fang, Huaiying
    Yang, Jianhong
    Pan, Weijun
    [J]. Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument, 2022, 43 (10): : 165 - 176
  • [32] Robust deep learning method for fruit decay detection and plant identification: enhancing food security and quality control
    Afsharpour, Pariya
    Zoughi, Toktam
    Deypir, Mahmood
    Zoqi, Mohamad Javad
    [J]. FRONTIERS IN PLANT SCIENCE, 2024, 15
  • [33] Deep learning for automated fish grading
    Jayasundara, J. M. V. D. B.
    Ramanayake, R. M. L. S.
    Senarath, H. M. N. B.
    Herath, H. M. S. L.
    Godaliyadda, G. M. R. I.
    Ekanayake, M. P. B.
    Herath, H. M. V. R.
    Ariyawansa, S.
    [J]. JOURNAL OF AGRICULTURE AND FOOD RESEARCH, 2023, 14
  • [34] Deep Learning for Grading Endometrial Cancer
    Goyal, Manu
    Tafe, Laura J.
    Feng, James X.
    Muller, Kristen E.
    Hondelink, Liesbeth
    Bentz, Jessica L.
    Hassanpour, Saeed
    [J]. AMERICAN JOURNAL OF PATHOLOGY, 2024, 194 (09): : 1701 - 1711
  • [35] Improving deep learning in arrhythmia Detection: The application of modular quality and quantity controllers in data augmentation
    Khaliran, Mohammad Usef Khosravi
    Zabbah, Iman
    Faraji, Mehrbod
    Ebrahimpour, Reza
    [J]. BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2024, 91
  • [36] FundusQ-Net: A regression quality assessment deep learning algorithm for fundus images quality grading
    Abramovich, Or
    Pizem, Hadas
    Van Eijgen, Jan
    Oren, Ilan
    Melamed, Joshua
    Stalmans, Ingeborg
    Blumenthal, Eytan Z.
    Behar, Joachim A.
    [J]. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2023, 239
  • [37] Study of Underwater Fruit Object Detection Using Deep Learning Model
    Aravind, Jinka Venkata
    Prince, Shanthi
    [J]. OPTICAL AND WIRELESS TECHNOLOGIES, OWT 2021, 2023, 892 : 381 - 391
  • [38] Recent Advancements in Fruit Detection and Classification Using Deep Learning Techniques
    Ukwuoma, Chiagoziem C. C.
    Zhiguang, Qin
    Bin Heyat, Md Belal
    Ali, Liaqat
    Almaspoor, Zahra
    Monday, Happy N. N.
    [J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2022, 2022
  • [39] Deep Learning Embedded into Smart Traps for Fruit Insect Pests Detection
    Freitas, Lucas
    Martins, Valter
    de Aguiar, Marilton
    de Brisolara, Lisane
    Ferreira, Paulo
    [J]. ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2023, 14 (01)
  • [40] Application of deep learning diagnosis for multiple traits sorting in peach fruit
    Masuda, Kanae
    Uchida, Rika
    Fujita, Naoko
    Miyamoto, Yoshiaki
    Yasue, Takahiro
    Kubo, Yasutaka
    Ushijima, Koichiro
    Uchida, Seiichi
    Akagi, Takashi
    [J]. POSTHARVEST BIOLOGY AND TECHNOLOGY, 2023, 201