DIAGNOSTIC MODEL FOR WHEAT LEAF CONDITIONS USING IMAGE FEATURES AND A SUPPORT VECTOR MACHINE

doi:10.13031/trans.59.11434

	DIAGNOSTIC MODEL FOR WHEAT LEAF CONDITIONS USING IMAGE FEATURES AND A SUPPORT VECTOR MACHINE
	Du, K.; Sun, Z.; Li, Y.; Zheng, F.; Chu, J.; Su, Y.
刊名	Transactions of the ASABE
	2016
卷号	59 期号:5 页码:1041-1052
关键词	Diagnostic model Image processing Plant disease Precision agriculture Support vector machine
ISSN号	2151-0032
DOI	10.13031/trans.59.11434
通讯作者	Du, K.
英文摘要	This study presents a diagnostic model for wheat leaf conditions (i.e., healthy, powdery mildew, stripe rust, and leaf rust) based on image processing and support vector machine (SVM) technologies. The model follows a process consisting of in-field acquisition, automatic classification, and ongoing detection. This methodology uses various color, texture, and shape features to distinguish between healthy and diseased wheat leaves. First, acquired RGB-colored digital images were preprocessed to segment suspected disease spots. Second, the color, texture, and shape features were extracted from the segmented images. Different combinations of feature vectors were then used as inputs for the SVM, which was coupled with four types of kernel functions. Finally, sample training experiments were performed to identify the optimal SVM classifiers. The results indicate that the SVM classifier with a radial basis kernel function and a selected combination of feature vectors significantly outperformed the other algorithms, achieving a high overall recognition accuracy of 97.73%. This model could be used as an effective tool to identify wheat leaf conditions and has the potential for real-time diagnostic applications under field conditions.
学科主题	Agricultural Engineering
语种	英语
出版者	AMER SOC AGRICULTURAL & BIOLOGICAL ENGINEERS
WOS记录号	WOS:000392929300005
内容类型	期刊论文
源URL	[http://111.203.20.206/handle/2HMLN22E/105445]
专题	农业环境与可持续发展研究所
作者单位	Chinese Acad Agr Sci, Inst Environm & Sustainable Dev Agr, 12 Zhongguancun South St, Beijing 100081, Peoples R China
推荐引用方式 GB/T 7714	Du, K.,Sun, Z.,Li, Y.,et al. DIAGNOSTIC MODEL FOR WHEAT LEAF CONDITIONS USING IMAGE FEATURES AND A SUPPORT VECTOR MACHINE[J]. Transactions of the ASABE,2016,59(5):1041-1052.
APA	Du, K.,Sun, Z.,Li, Y.,Zheng, F.,Chu, J.,&Su, Y..(2016).DIAGNOSTIC MODEL FOR WHEAT LEAF CONDITIONS USING IMAGE FEATURES AND A SUPPORT VECTOR MACHINE.Transactions of the ASABE,59(5),1041-1052.
MLA	Du, K.,et al."DIAGNOSTIC MODEL FOR WHEAT LEAF CONDITIONS USING IMAGE FEATURES AND A SUPPORT VECTOR MACHINE".Transactions of the ASABE 59.5(2016):1041-1052.