ResNet interpretation methods applied to the classification of foliar diseases in sunflower

Research article (Journal of Agriculture and Food Research, 2022) · cited 20× · AI/ML
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ResNet interpretation methods applied to the classification of foliar diseases in sunflower

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ResNet interpretation methods applied to the classification of foliar diseases in sunflower is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). ResNet interpretation methods applied to the classification of foliar diseases in sunflower. Retrieved May 24, 2026, from https://4ort.xyz/entity/resnet-interpretation-methods-applied-to-the-classification-of-foliar-diseases-in-sunflower
MLA “ResNet interpretation methods applied to the classification of foliar diseases in sunflower.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/resnet-interpretation-methods-applied-to-the-classification-of-foliar-diseases-in-sunflower.
BibTeX @misc{4ortxyz_resnet-interpretation-methods-applied-to-the-classification-of-foliar-diseases-in-sunflower_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ResNet interpretation methods applied to the classification of foliar diseases in sunflower}}, year = {2026}, url = {https://4ort.xyz/entity/resnet-interpretation-methods-applied-to-the-classification-of-foliar-diseases-in-sunflower}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): ResNet interpretation methods applied to the classification of foliar diseases in sunflower — https://4ort.xyz/entity/resnet-interpretation-methods-applied-to-the-classification-of-foliar-diseases-in-sunflower (retrieved 2026-05-24)

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