Pears classification by identifying internal defects based on X-ray images and neural networks-Reference-Cited by-同舟云学术

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Pears classification by identifying internal defects based on X-ray images and neural networks

Published:2024-07-10 Issue: Volume: Page:
ISSN:2095-3127
Container-title:Advances in Manufacturing
language:en
Short-container-title:Adv. Manuf.

Author:

Wang Ning,Yu Sai-Kun,Qi Zheng-Pan,Ding Xiang-Yan,Wu Xiao,Hu Ning

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hebei Province

Department of Education of Hebei Province

Tianjin Municipal Science and Technology Program

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s40436-024-00512-1.pdf

Reference35 articles.

1. Pholpho T, Pathaveerat S, Sirisomboon P (2011) Classification of longan fruit bruising using visible spectroscopy. J Food Eng 104(1):169–172

2. Opara UL, Pathare PB (2014) Bruise damage measurement and analysis of fresh horticultural produce–a review. Postharvest Biol Technol 91:9–24

3. Doerflinger FC, Rickard BJ, Nock JF et al (2015) An economic analysis of harvest timing to manage the physiological storage disorder firm flesh browning in “empire” apples. Postharvest Biol Technol 107:1–8

4. Zeng X, Miao Y, Ubaid S et al (2020) Detection and classification of bruises of pears based on thermal images. Postharvest Biol Technol 161:111090. https://doi.org/10.1016/j.postharvbio.2019.111090

5. Baranowski P, Lipecki J, Mazurek W et al (2008) Detection of watercore in “gloster” apples using thermography. Postharvest Biol Technol 47(3):358–366

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