alexa Texture Analysis Using DWT for Grape Plant Species Clas
ISSN: 2320-0189

Research & Reviews: Journal of Botanical Sciences
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Research Article

Texture Analysis Using DWT for Grape Plant Species Classification

Ismail S Bagalkote1, Anup S Vibhute1, and BM More2*

1Department of Electronics and Telecommunication Engg, BMIT, Solapur, Maharashtra, India

2Department of Physics, BMIT, Solpur, Maharashtra, India

*Corresponding Author:
BM More
Department of Physics, BMIT, Solpur, Maharashtra, India.

Received date: 11 May 2014 Accepted date: 13 June 2014



By observing leaf, we can easily identify plant but it is difficult to identify its species. In this project we developed an algorithm that gives user the ability to identify plant species based on photographs of the leaf. The core theme of this application is an algorithm that acquires statistical features of the leaves, and then classifies the species based on a novel combination of the computed texture feature analysis and wavelet analysis. While implementing this algorithm we have considered the Grape plant and its four species viz. Clone, Sonaka, Thomson and Manik. The algorithm is first trained against several samples of known plant species and then used to classify unknown query species. By using this algorithm we have achieved 93.33% efficiency.


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