Feature Extraction and Classification Algorithm for Rubber Tree Leaf

Language: English

Published by LAP LAMBERT Academic Publishing Feb 2018, 2018

6137382095 / 9786137382097

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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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Softcover

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Item description from seller

This item is printed on demand - it takes 3-4 days longer - Neuware -Rubber is one of the major sources of national income in Malaysia. Malaysian Rubber Board (MRB) is responsible for monitoring the quality of rubber to maintain a successful breeding program. One of the important factors that affect the quality of raw rubber is the clonal origin of the tree. In current practice, clone inspectors verify the clone type manually using leaf features. An automated clone classification system is needed to facilitate the inspection process. There are several features of rubber tree leaf to differentiate clone types including leaf tip, leaf base, the form of the leaf, and leaf margin. This book provides an in-depth look at these features and it explores several feature extraction methods to analyze the effectiveness of these methods. 120 pp. Englisch.

Seller Inventory # 9786137382097

Bibliographic details

Title
Feature Extraction and Classification Algorithm for Rubber Tree Leaf
Author
Sule T. Anjomshoae
Publisher
LAP LAMBERT Academic Publishing Feb 2018
Publication year
2018
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6137382095
ISBN 13
9786137382097
Item weight
197 grams
Dimensions
220x150x8 mm

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Germany

5-star seller

AbeBooks seller since January 11, 2012

Shipping rates from Germany to U.S.A.

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BuchWeltWeit Ludwig Meier e.K.

Germany