Detection of early decayed oranges by using hyperspectral transmittance imaging and visual coding techniques coupled with an improved deep learning model-Reference-Cited by-同舟云学术

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Detection of early decayed oranges by using hyperspectral transmittance imaging and visual coding techniques coupled with an improved deep learning model

Published:2024-11 Issue: Volume:217 Page:113095
ISSN:0925-5214
Container-title:Postharvest Biology and Technology
language:en
Short-container-title:Postharvest Biology and Technology

Author:

Cai Letian,Zhang Yizhi,Diao Zhihua,Zhang Junyi,Shi Ruiyao,Li Xuetong,Li Jiangbo

Publisher

Elsevier BV

Reference40 articles.

1. Detection of watercore in ‘Gloster’ apples using thermography;Baranowski;Postharvest Biol. Technol.,2008

2. Detection of subsurface bruises in plums using spectral imaging and deep learning with wavelength selection;Castillo-Girones;Postharvest Biol. Technol.,2024

3. Almond defect and freshness inspection system using hyperspectral imaging and deep learning techniques;Chen;Postharvest Biol. Technol.,2024

4. A bootstrapping soft shrinkage approach for variable selection in chemical modeling;Deng;Anal. Chim. Acta,2016

5. Natamycin as a safe food additive to control postharvest green mould and sour rot in citrus;Du;J. Appl. Microbiol.,2022

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