Discussion on Sunflower Leaf Disease Diagnosis Based on Imaging Identification

Hui Xu; Fang Lv; Xian Mei Yue

doi:10.4028/www.scientific.net/AMM.577.1202

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 577Discussion on Sunflower Leaf Disease Diagnosis...

Discussion on Sunflower Leaf Disease Diagnosis Based on Imaging Identification

Abstract:

This paper focused on three common diseases, respectively, bacterial leaf spot, black spot and downy mildew as research targets, developed and designed a system to diagnose leaf diseases of sunflowers based on image identification. The system used MATLAB as platform and developed the system by utilizing GUI tool kit. Passing several tests, the system was believed to be able to identify three types of sunflower diseases effectively, respectively, bacterial leaf spot, black spot and downy mildew. The results basically met the requirements set before the design of this system.

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Periodical:

Applied Mechanics and Materials (Volume 577)

Pages:

1202-1206

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.577.1202

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Online since:

July 2014

Authors:

Hui Xu*, Fang Lv, Xian Mei Yue

Keywords:

Disease Recognition, Disease Spots Segmentation, Feature Extraction, Sunflower Leaf Disease

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* - Corresponding Author

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