Generating labeled samples based on improved cDCGAN for hyperspectral data augmentation: A case study of drought stress identification of strawberry leaves

Research article (Computers and Electronics in Agriculture, 2024) · cited 12× · AI/ML
Press Enter · cited answer in seconds

Generating labeled samples based on improved cDCGAN for hyperspectral data augmentation: A case study of drought stress identification of strawberry leaves

Summary

Generating labeled samples based on improved cDCGAN for hyperspectral data augmentation: A case study of drought stress identification of strawberry leaves is a scholarly article[1].

Key Facts

  • Generating labeled samples based on improved cDCGAN for hyperspectral data augmentation: A case study of drought stress identification of strawberry leaves's instance of is recorded as scholarly article[2].

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Generating labeled samples based on improved cDCGAN for hyperspectral data augmentation: A case study of drought stress identification of strawberry leaves. Retrieved May 24, 2026, from https://4ort.xyz/entity/generating-labeled-samples-based-on-improved-cdcgan-for-hyperspectral-data-augmentation-a-case-study-of-drought-stress-i
MLA “Generating labeled samples based on improved cDCGAN for hyperspectral data augmentation: A case study of drought stress identification of strawberry leaves.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/generating-labeled-samples-based-on-improved-cdcgan-for-hyperspectral-data-augmentation-a-case-study-of-drought-stress-i.
BibTeX @misc{4ortxyz_generating-labeled-samples-based-on-improved-cdcgan-for-hyperspectral-data-augmentation-a-case-study-of-drought-stress-i_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Generating labeled samples based on improved cDCGAN for hyperspectral data augmentation: A case study of drought stress identification of strawberry leaves}}, year = {2026}, url = {https://4ort.xyz/entity/generating-labeled-samples-based-on-improved-cdcgan-for-hyperspectral-data-augmentation-a-case-study-of-drought-stress-i}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Generating labeled samples based on improved cDCGAN for hyperspectral data augmentation: A case study of drought stress identification of strawberry leaves — https://4ort.xyz/entity/generating-labeled-samples-based-on-improved-cdcgan-for-hyperspectral-data-augmentation-a-case-study-of-drought-stress-i (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/generating-labeled-samples-based-on-improved-cdcgan-for-hyperspectral-data-augmentation-a-case-study-of-drought-stress-i · Last refreshed: