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A customized convolutional neural network-based approach for weeds identification in cotton crops

Research article (Frontiers in Plant Science, 2025) · cited 11× · AI/ML
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A customized convolutional neural network-based approach for weeds identification in cotton crops

Summary

A customized convolutional neural network-based approach for weeds identification in cotton crops is a scholarly article[1].

Key Facts

  • A customized convolutional neural network-based approach for weeds identification in cotton crops'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). A customized convolutional neural network-based approach for weeds identification in cotton crops. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-customized-convolutional-neural-network-based-approach-for-weeds-identification-in-cotton-crops
MLA “A customized convolutional neural network-based approach for weeds identification in cotton crops.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-customized-convolutional-neural-network-based-approach-for-weeds-identification-in-cotton-crops.
BibTeX @misc{4ortxyz_a-customized-convolutional-neural-network-based-approach-for-weeds-identification-in-cotton-crops_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A customized convolutional neural network-based approach for weeds identification in cotton crops}}, year = {2026}, url = {https://4ort.xyz/entity/a-customized-convolutional-neural-network-based-approach-for-weeds-identification-in-cotton-crops}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A customized convolutional neural network-based approach for weeds identification in cotton crops — https://4ort.xyz/entity/a-customized-convolutional-neural-network-based-approach-for-weeds-identification-in-cotton-crops (retrieved 2026-05-24)

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