کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4517671 1624971 2017 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Quality evaluation of watermelon using laser-induced backscattering imaging during storage
ترجمه فارسی عنوان
ارزیابی کیفیت هندوانه با استفاده از تصویربرداری ناشی از لیزر بک ساکاترینگ در طول ذخیره سازی
کلمات کلیدی
نور لیزر؛ بک ساکاترینگ تصویربرداری؛ هندوانه؛ ارزیابی کیفی؛ ذخیره سازی
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک علوم زراعت و اصلاح نباتات
چکیده انگلیسی


• Quality changes of watermelon during the storage period.
• Classification of watermelon cultivars based on the backscattering parameters.
• Prediction models were developed for predicting quality changes of watermelons.

Non-destructive and optical-based technologies are rapidly being engaged as alternative techniques for monitoring quality changes in agricultural produce. In the present work, the feasibility of laser-induced backscattering imaging was investigated to predict the changes of firmness, soluble solids content (SSC), pH, and moisture of watermelon during storage. Backscattering images were obtained from Black Beauty and Red Seedless watermelons using a laser diode emitting at the wavelength of 658 nm. Different multivariate methods were evaluated on the backscattering parameters (BP) for monitoring the quality changes of watermelons at different storage days. A partial least squares (PLS) regression was applied to the BP extracted from the backscattering images to analyze the quality attributes of the two watermelon cultivars. Among all of the quality changes, the moisture prediction gave the highest coefficient of determination (R2) of 0.942 and root mean square error of prediction (RMSEP) of 0.492, respectively. Therefore, this study has demonstrated the capability of laser-induced backscattering imaging as a useful, rapid, and non-invasive optical technique for the evaluation of the quality of watermelons during storage.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Postharvest Biology and Technology - Volume 123, January 2017, Pages 51–59
نویسندگان
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