Quantitative detection of soybean rust using image processing techniques
Rust caused by Phakopsora pachyrhizi Syd. is a major constraint to soybean product in Asia. Early detection and possibilities of controlling plant diseases by the integration of several image processing methods has been the subject of extensive research. The main contribution of this paper is to pre...
Main Authors: | Jagadeesh Devidas Pujari, Rajesh Siddarammayya Yakkundimath, Shamrao Jahagirdar, Abdul Byadgi |
---|---|
Format: | Article |
Language: | English |
Published: |
University of Tarbiat Modares
2016-03-01
|
Series: | Journal of Crop Protection |
Subjects: | |
Online Access: | http://jcp.modares.ac.ir/article-3-8488-en.html |
Similar Items
-
RNA-Seq and Comparative Transcriptomic Analyses of Asian Soybean Rust Resistant and Susceptible Soybean Genotypes Provide Insights into Identifying Disease Resistance Genes
by: Qingnan Hao, et al.
Published: (2023-08-01) -
Phenotypic Evaluation of Soybean Genotypes for Their Reaction to a Mississippi Isolate of <i>Phakopsora pachyrhizi</i> Causing Soybean Rust
by: Shuxian Li, et al.
Published: (2023-04-01) -
Mapping QTLs Controlling Soybean Rust Disease Resistance in Chiang Mai 5, an Induced Mutant Cultivar
by: Thongchai Chanchu, et al.
Published: (2022-12-01) -
SVM and ANN Based Classification of Plant Diseases Using Feature Reduction Technique
by: Jagadeesh D.Pujari, et al.
Published: (2016-06-01) -
Recognition and classification of Produce affected by identically looking Powdery Mildew disease
by: Pujari Jagadeesh D., et al.
Published: (2014-08-01)