Feature Extraction and Classification Algorithm for Rubber Tree Leaf - Sule T. Anjomshoae,Mohd Shafry Bin Mohd Rahim
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Toimitus 15-21 arkipäivässä
30 päivän palautusoikeus
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 classific ... Täydellinen kuvaus
Kuvaus
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.
Lisätietoja
| Kirjoittaja | Sule T. Anjomshoae, Mohd Shafry Bin Mohd Rahim |
|---|---|
| Julkaisija | LAP LAMBERT Academic Publishing |
| Julkaisuvuosi | 2018 |
| Kannen tyyppi | Pehmeäkantinen |
| EAN | 9786137382097 |