Discrimination of common defects in loquat fruit cv. ‘Algerie’ using hyperspectral imaging and machine learning techniques-Reference-Cited by-同舟云学术

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Discrimination of common defects in loquat fruit cv. ‘Algerie’ using hyperspectral imaging and machine learning techniques

Published:2021-01 Issue: Volume:171 Page:111356
ISSN:0925-5214
Container-title:Postharvest Biology and Technology
language:en
Short-container-title:Postharvest Biology and Technology

Author:

Munera Sandra,Gómez-Sanchís Juan,Aleixos Nuria,Vila-Francés Joan,Colelli Giancarlo,Cubero Sergio,Soler Esteban,Blasco José

Publisher

Elsevier BV

Subject

Horticulture,Agronomy and Crop Science,Food Science

Reference36 articles.

1. Postharvest regulated deficit irrigation in early- and intermediate-maturing loquat trees;Ballester;Agric. Water Manag.,2018

2. Predicting the direction of stock market prices using tree-based classifiers;Basak;North Am. J. Econ. Finance,2019

3. Random forest in remote sensing: A review of applications and future directions;Belgiu;ISPRS J. Photogramm.Remote Sen.,2016

4. Volatile metabolite profiling reveals the changes in the volatile compounds of new spontaneously generated loquat cultivars;Besada;Food Res. Int.,2017

5. Machine vision-based measurement systems for fruit and vegetable quality control in postharvest;Blasco,2017

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5. MULTİSPEKTRAL VE HİPERSPEKTRAL GÖRÜNTÜLEME TEKNİKLERİNİN MEYVE - SEBZE İŞLEME TESİSLERİNDE KULLANIM OLANAKLARI;Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi;2024-06-03

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