Short communication.Automatic inspection of the pomegranate (Punica granatum L.) arils quality by means of computer vision-Reference-Cited by-同舟云学术

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Short communication.Automatic inspection of the pomegranate (Punica granatum L.) arils quality by means of computer vision

Published:2008-03-01 Issue:1 Volume:6 Page:12
ISSN:2171-9292
Container-title:Spanish Journal of Agricultural Research
language:
Short-container-title:Span J Agric Res

Author:

Blasco J.,Cubero S.,Alegre-Sosa S.,Gómez-Sanchís J.,Moltó E.

Publisher

Instituto Nacional de Investigacion y Tecnologia Agraria y Alimentaria (INIA)

Subject

Agronomy and Crop Science

Cited by 8 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. Postharvest Science and Technologies for Handling Pomegranates (Punica granatum L.);Recent Advances in Postharvest Technologies, Volume 2;2024

2. Pomegranate Quality Evaluation Using Non-Destructive Approaches: A Review;Agriculture;2022-11-28

3. Maturity monitoring of intact fruit and arils of pomegranate cv. ‘Mollar de Elche’ using machine vision and chemometrics;Postharvest Biology and Technology;2019-10

4. Classification of bitter and sweet olives using image processing and artificial neural networks during curing process in brine and water environments;International Journal of Food Properties;2017-12-27

5. Important Parameters for Image Color Analysis: An Overview;Augmented Vision and Reality;2014

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