Agricultural plant diseases identification: From traditional approach to deep learning

Research article (Materials Today Proceedings, 2023) · cited 243× · AI/ML
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Agricultural plant diseases identification: From traditional approach to deep learning

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Agricultural plant diseases identification: From traditional approach to deep learning is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Agricultural plant diseases identification: From traditional approach to deep learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/agricultural-plant-diseases-identification-from-traditional-approach-to-deep-learning
MLA “Agricultural plant diseases identification: From traditional approach to deep learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/agricultural-plant-diseases-identification-from-traditional-approach-to-deep-learning.
BibTeX @misc{4ortxyz_agricultural-plant-diseases-identification-from-traditional-approach-to-deep-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Agricultural plant diseases identification: From traditional approach to deep learning}}, year = {2026}, url = {https://4ort.xyz/entity/agricultural-plant-diseases-identification-from-traditional-approach-to-deep-learning}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Agricultural plant diseases identification: From traditional approach to deep learning — https://4ort.xyz/entity/agricultural-plant-diseases-identification-from-traditional-approach-to-deep-learning (retrieved 2026-05-24)

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