Application and Imaging Processing Algorithm of Biospeckle Technology in Fruit Quality Detection

2019 ◽  
Vol 56 (9) ◽  
pp. 090003
Author(s):  
邓博涵 Deng Bohan ◽  
陈嘉豪 Chen Jiahao ◽  
胡孟晗 Hu Menghan ◽  
许文平 Xu Wenping ◽  
张才喜 Zhang Caixi
Keyword(s):  
Fruit Quality ◽  
Processing Algorithm ◽  
Imaging Processing ◽  
Quality Detection

scholarly journals Detection of Ridge Gourd (Luffa acutangula) Fruit Quality During Storage Using Near-Infrared Spectrometer

2018 ◽  
Author(s):  
Yuda Hadiwijaya
Keyword(s):  
Fruit Quality ◽  
Near Infrared ◽  
Plant Production ◽  
Maturity Stage ◽  
Quality Detection ◽  
Infrared Spectrometer ◽  
Total Dissolved Solid ◽  
Near Infrared Spectrometer ◽  
Luffa Acutangula ◽  
Absorbance Spectra

Fruit quality detection using near-infraread spectrometer is fast and it does not damage the fruit, hence the fruit is still marketable. The aim of this research focused on analyzing quality component of ridge gourd during storage using near-infrared spectrometer. The research was conducted on March to July 2017 at the Laboratory Plant Production Technology of Horticulture Division of Agriculture Faculty of Padjadjaran University, Jatinangor. Ridge gourds were harvested at the same maturity stage from the orchad, then stored at 5 and 10 days. The method used in this research was multivariate data analysis using Unscrambler software (version 7.51, CAMO, Oslo, Norway). The data acquisition was taken using portable near-infrared (NIR) spectrometer (NirVana AG410, Integrated Spectronics Pty, Ltd, Australia) with wavelength range of 600-1100 nm and stored as absorbance spectra and pretreated by secondderivatives spectra using ISIS software (Integrated Spectronics Pty, Ltd, Australia). The results showed that non-destrucive method using near-infrared spectrometer was able to measure ridge gourd fruit quality component such as, total dissolved solid, moisture content, firmness and color values.

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