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Tomato Leaf Disease Diagnosis Based on Improved Convolution Neural Network by Attention Module

Research article (Agriculture, 2021) · cited 218× · AI/ML
academia openalex:W3180632644
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Tomato Leaf Disease Diagnosis Based on Improved Convolution Neural Network by Attention Module

Summary

Tomato Leaf Disease Diagnosis Based on Improved Convolution Neural Network by Attention Module is a scholarly article[1].

Key Facts

  • Tomato Leaf Disease Diagnosis Based on Improved Convolution Neural Network by Attention Module's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Tomato Leaf Disease Diagnosis Based on Improved Convolution Neural Network by Attention Module. Retrieved May 24, 2026, from https://4ort.xyz/entity/tomato-leaf-disease-diagnosis-based-on-improved-convolution-neural-network-by-attention-module
MLA “Tomato Leaf Disease Diagnosis Based on Improved Convolution Neural Network by Attention Module.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/tomato-leaf-disease-diagnosis-based-on-improved-convolution-neural-network-by-attention-module.
BibTeX @misc{4ortxyz_tomato-leaf-disease-diagnosis-based-on-improved-convolution-neural-network-by-attention-module_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Tomato Leaf Disease Diagnosis Based on Improved Convolution Neural Network by Attention Module}}, year = {2026}, url = {https://4ort.xyz/entity/tomato-leaf-disease-diagnosis-based-on-improved-convolution-neural-network-by-attention-module}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Tomato Leaf Disease Diagnosis Based on Improved Convolution Neural Network by Attention Module — https://4ort.xyz/entity/tomato-leaf-disease-diagnosis-based-on-improved-convolution-neural-network-by-attention-module (retrieved 2026-05-24)

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