An Efficient Hybrid CNN Classification Model for Tomato Crop Disease

Research article (Technologies, 2023) · cited 51× · AI/ML
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An Efficient Hybrid CNN Classification Model for Tomato Crop Disease

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An Efficient Hybrid CNN Classification Model for Tomato Crop Disease is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An Efficient Hybrid CNN Classification Model for Tomato Crop Disease. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-efficient-hybrid-cnn-classification-model-for-tomato-crop-disease
MLA “An Efficient Hybrid CNN Classification Model for Tomato Crop Disease.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-efficient-hybrid-cnn-classification-model-for-tomato-crop-disease.
BibTeX @misc{4ortxyz_an-efficient-hybrid-cnn-classification-model-for-tomato-crop-disease_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An Efficient Hybrid CNN Classification Model for Tomato Crop Disease}}, year = {2026}, url = {https://4ort.xyz/entity/an-efficient-hybrid-cnn-classification-model-for-tomato-crop-disease}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An Efficient Hybrid CNN Classification Model for Tomato Crop Disease — https://4ort.xyz/entity/an-efficient-hybrid-cnn-classification-model-for-tomato-crop-disease (retrieved 2026-05-24)

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