Detection of Potato Leaf Disease Using Multi-Class Support Vector Machine Based on Texture, Color, and Shape Features

Research article (2022 International Conference on Electrical and Information Technology (IEIT), 2022) · cited 12× · AI/ML
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Detection of Potato Leaf Disease Using Multi-Class Support Vector Machine Based on Texture, Color, and Shape Features

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Detection of Potato Leaf Disease Using Multi-Class Support Vector Machine Based on Texture, Color, and Shape Features is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Detection of Potato Leaf Disease Using Multi-Class Support Vector Machine Based on Texture, Color, and Shape Features. Retrieved May 24, 2026, from https://4ort.xyz/entity/detection-of-potato-leaf-disease-using-multi-class-support-vector-machine-based-on-texture-color-and-shape-features
MLA “Detection of Potato Leaf Disease Using Multi-Class Support Vector Machine Based on Texture, Color, and Shape Features.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/detection-of-potato-leaf-disease-using-multi-class-support-vector-machine-based-on-texture-color-and-shape-features.
BibTeX @misc{4ortxyz_detection-of-potato-leaf-disease-using-multi-class-support-vector-machine-based-on-texture-color-and-shape-features_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Detection of Potato Leaf Disease Using Multi-Class Support Vector Machine Based on Texture, Color, and Shape Features}}, year = {2026}, url = {https://4ort.xyz/entity/detection-of-potato-leaf-disease-using-multi-class-support-vector-machine-based-on-texture-color-and-shape-features}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Detection of Potato Leaf Disease Using Multi-Class Support Vector Machine Based on Texture, Color, and Shape Features — https://4ort.xyz/entity/detection-of-potato-leaf-disease-using-multi-class-support-vector-machine-based-on-texture-color-and-shape-features (retrieved 2026-05-24)

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