Download PDF

Volume 25, No. (3), 2015 (June) - Supplementary

PLANT DISEASE RECOGNITION BASED ON PLANT LEAF IMAGE

S. W. Zhang Y. J. Shang, L. Wang

S. W. Zhang Y. J. Shang, L. Wang
1 SIAS International University, Xin Zheng Zheng Zhou, Henan 451150, P. R. China
Corresponding Author: wjdw716@163.com
Page Number(s): 42-45
Published Online First: June 01, 2015
Publication Date: June 01, 2015

ABSTRACT

Plant disease automatic detection is an important research topic as it has been proved useful in monitoring large crop fields, and thus automatically detects the leaf disease symptoms as soon as they appear in plant leaves. In this paper, a plant disease recognition method is proposed based on plant leaf images. First, the spot is segmented, and the disease feature vector is extracted. Then, the extracted features are provided for the K-nearest-neighbor classifier to recognize the plant diseases. Experimental results show the effectiveness of the proposed approach.
Keywords: Leaf image segmentation, Plant disease identification, Feature extraction
Open Access: This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( https://creativecommons.org/licenses/by/4.0/).
Share:
Download Statistics
This Manuscript
Full Text
31
downloads
Indicators
Metrics

Cite Score: 1.3

JCR Year: 2025

Indexing
Status

Web of Science (SCIE)

SCOPUS (Q3)

Journal Metrics
Current

Journal Impact Factor: 0.5

HEC Category: W

ISSN Details
Verified

Print ISSN: 1018-7081

Electronic ISSN: 2309-8694

Search the Journal

Use the fields below to search for articles by Title, Author, or Keywords.

All Downloads
Full Text
85,395
downloads
Supplementary
264
downloads
© , Developed by HISOFT