Prediction of the ripening stages of papayas using discriminant analysis and support vector machine algorithms-Reference-Cited by-同舟云学术

Prediction of the ripening stages of papayas using discriminant analysis and support vector machine algorithms

Published:2021-12-09 Issue: Volume: Page:
ISSN:0022-5142
Container-title:Journal of the Science of Food and Agriculture
language:en
Short-container-title:J Sci Food Agric

Author:

Zulkifli Nurazwin¹^ORCID,Hashim Norhashila¹²^ORCID,Harith Hazreen Haizi¹²,Mohamad Shukery Mohamad Firdza²,Onwude Daniel I.³^ORCID

Affiliation:

1. Department of Biological and Agricultural Engineering, Faculty of Engineering Universiti Putra Malaysia Serdang Malaysia

2. SMART Farming Technology Research Centre (SFTRC), Faculty of Engineering Universiti Putra Malaysia Serdang Malaysia

3. Department of Agricultural and Food Engineering, Faculty of Engineering University of Uyo Uyo Nigeria

Publisher

Wiley

Subject

Nutrition and Dietetics,Agronomy and Crop Science,Food Science,Biotechnology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jsfa.11669

Reference42 articles.

1. Carotenoids and volatile profiles of yellow- and red-fleshed papaya fruit in relation to the expression of carotenoid cleavage dioxygenase genes

2. FAO FAOSTAT Database [Online].Food and Agriculture Organization of the United Nations website and Agriculture Organization(2019). Available:http://www.fao.org/faostat/en/#data[20 April 2021].

3. Antioxidant characterization of new dietary fiber concentrates from papaya pulp and peel ( Carica papaya L.)

4. Papain from papaya (Carica papaya L.) fruit and latex: Preliminary characterization in alcoholic–acidic buffer for wine application

5. Exploring the differential mechanisms of carotenoid biosynthesis in the yellow peel and red flesh of papaya

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