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
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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. |
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