Tomato Spotted Wilt Disease Severity Levels Detection: A Deep Learning Methodology

Research article (2021 8th International Conference on Signal Processing and Integrated Networks (SPIN), 2021) · cited 77× · AI/ML

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Tomato Spotted Wilt Disease Severity Levels Detection: A Deep Learning Methodology

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Tomato Spotted Wilt Disease Severity Levels Detection: A Deep Learning Methodology is a scholarly article^[1].

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Authored by 3

Khadim Moin Siddiqui, Vikas Salonki, Vinay Kukreja

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Khadim Moin Siddiqui, Vikas Salonki, Vinay Kukreja

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[2] ↑ Tomato Spotted Wilt Disease Severity Levels Detection: A Deep Learning Methodology — instance of (P31): scholarly article. wikidata.org.

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[1] ↑ Tomato Spotted Wilt Disease Severity Levels Detection: A Deep Learning Methodology is an instance of scholarly article (scholarly article) [P31, primary]. Wikidata. wikidata.org.

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@misc{4ortxyz_tomato-spotted-wilt-disease-severity-levels-detection-a-deep-learning-methodology_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Tomato Spotted Wilt Disease Severity Levels Detection: A Deep Learning Methodology}}, year = {2026}, url = {https://4ort.xyz/entity/tomato-spotted-wilt-disease-severity-levels-detection-a-deep-learning-methodology}, note = {Accessed: 2026-05-24}}

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