Enhanced near infrared spectral data to improve prediction accuracy in determining quality parameters of intact mango
Author:
Publisher
Elsevier BV
Subject
Multidisciplinary
Reference19 articles.
1. Model development for non-destructive determination of rind biochemical properties of ‘Marsh’ grapefruit using visible to near-infrared spectroscopy and chemometrics;Olarewaju;Spectrochim. Acta - Part A Mol. Biomol. Spectrosc.,2019
2. Rapid and non-destructive prediction of mango quality attributes using Fourier transform near infrared spectroscopy and chemometrics;Munawar;Eng. Agric. Environ. Food,2016
3. Quality control of cashew apple and guava nectar by near infrared spectroscopy;Caramês;J. Food Compos. Anal.,2017
4. Near infrared spectroscopic data for rapid and simultaneous prediction of quality attributes in intact mango fruits;Munawar;Data Br.,2019
5. Rapid and non-destructive detection of insect infestations on intact mango by means of near infrared spectroscopy;Sudarjat;IOP Conf. Ser. Earth Environ. Sci.,2019
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3. Near Infrared Technology Coupled with Different Spectra Correction Approaches for Fast and Non-Destructive Prediction of Chlorogenic Acid on Intact Coffee Beans;Acta Technologica Agriculturae;2024-02-24
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