Tasuta kohaletoimetamine tellimustele üle 29 €
  • check 10+ miljonit raamatut
  • check Uued tooted iga päev
  • check Meid usaldab üle 1 miljoni kliendi
  • check Hea hind ja allahindlused
  • check Tarne üle kogu Euroopa

Feature Extraction and Classification Algorithm for Rubber Tree Leaf - Sule T. Anjomshoae,Mohd Shafry Bin Mohd Rahim

inglise keel
2018-02-26
50,27 € 71,81 €

-30% koodiga BOOKS

Meie tarnija laos

Saadetis 15-21 tööpäeva jooksul

30-päevane tagastamisõigus

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 ... Täielik kirjeldus

Kirjeldus

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.

Lisateave

Autor Sule T. Anjomshoae, Mohd Shafry Bin Mohd Rahim
Kirjastaja LAP LAMBERT Academic Publishing
Väljalaskeaasta 2018
Kaanetüüp Pehme kaanega
EAN 9786137382097
Kirjuta oma arvustus
Te vaatate: Feature Extraction and Classification Algorithm for Rubber Tree Leaf
Teie hinnang:

Goodreads'i arvustused

50,27 € 71,81 €