Firmness prediction of 'Rocha' pear based on non-destructive methods and shelf-life using PLS-regression modeling-Reference-Cited by-同舟云学术

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Firmness prediction of 'Rocha' pear based on non-destructive methods and shelf-life using PLS-regression modeling

Published:2023-11 Issue: Volume:205 Page:112493
ISSN:0925-5214
Container-title:Postharvest Biology and Technology
language:en
Short-container-title:Postharvest Biology and Technology

Author:

Dias Cindy,Brandão Teresa R.S.,Cassoni Carolina,Vasconcelos Marta W.,Ferrante António,Pintado Manuela

Funder

Fundação para a Ciência e a Tecnologia

European Regional Development Fund

Publisher

Elsevier BV

Subject

Horticulture,Agronomy and Crop Science,Food Science

Reference41 articles.

1. Efficacy of 1-methylcyclopropene on the mitigation of storage disorders of “Rocha” pear under normal refrigerated and controlled atmospheres;Almeida;Food Sci. Technol. Int.,2016

2. Bayesian classification of ripening stages of tomato fruit using acoustic impact and colorimeter sensor data;Baltazar;Comput. Electron. Agric.,2008

3. Preliminary results on the non-destructive determination of pear (Pyrus communis L.) cv. Rocha ripeness by visible/near infrared reflectance spectroscopy;Cavaco;Acta Hortic.,2008

4. A preliminary approach to the prediction of “Rocha” pear skin pigments by Vis/NIR reflectance spectroscopy;Cavaco;Acta Hortic.,2010

5. ‘Rocha’ pear firmness predicted by a Vis/NIR segmented model;Cavaco;Postharvest Biol. Technol.,2009

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A dielectric method for predicting pear firmness combining deep data augmentation and ensemble learning;Food Control;2025-01

2. Whale optimization algorithm-based multi-task convolutional neural network for predicting quality traits of multi-variety pears using near-infrared spectroscopy;Postharvest Biology and Technology;2024-09

3. Using the Essential Oils of Sage and Anise to Enhance the Shelf Life of the Williams (sin. Bartlett) Pear;Coatings;2023-12-20

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