Automatic image segmentation of oil palm fruits by applying the contour-based approach-Reference-Cited by-同舟云学术

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Automatic image segmentation of oil palm fruits by applying the contour-based approach

Published:2020-02 Issue: Volume:261 Page:108939
ISSN:0304-4238
Container-title:Scientia Horticulturae
language:en
Short-container-title:Scientia Horticulturae

Author:

Septiarini Anindita^ORCID,Hamdani Hamdani,Hatta Heliza Rahmania,Anwar Khoerul

Funder

RISTEKDIKTI Indonesia

Publisher

Elsevier BV

Subject

Horticulture

Reference41 articles.

1. A method to construct fruit maturity color scales based on support machines for regression : Application to olives and grape seeds;Avila;J. Food Eng.,2015

2. Image segmentation for fruit detection and yield estimation in apple orchards;Bargoti;J. Field Robot.,2017

3. A robust algorithm based on color features for grape cluster segmentation;Behroozi-Khazaei;Comput. Electron. Agric.,2017

4. An yield estimation in citrus orchards via fruit detection and counting using image processing;Dorj;Comput. Electron. Agric.,2017

5. Intelligent color vision system for ripeness classification of oil palm fresh fruit bunch;Fadilah;Sensor,2012

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