S. W. Zhang Y. J. Shang, L. Wang 1 SIAS International University, Xin Zheng Zheng Zhou, Henan 451150, P. R. China
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.
Impact Score: 0.65; h Index:51
SJR: 0.20
Web of Science (SCIE): Q3
SCOPUS (Q3)
Journal Impact Factor (JIF): 0.6; JCR 2026 ; Five Year JIF: 0.7
HEC Category: W
Print ISSN: 1018-7081
Electronic ISSN: 2309-8694
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