Home ›
Entities
› academia
› Performance Comparison of Deep Learning Techniques for Classification of Fruits as Fresh and Rotten
Performance Comparison of Deep Learning Techniques for Classification of Fruits as Fresh and Rotten
Research article (2023 International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI), 2023) · cited 10× · AI/ML
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.
APA4ort.xyz Knowledge Graph. (2026). Performance Comparison of Deep Learning Techniques for Classification of Fruits as Fresh and Rotten. Retrieved May 24, 2026, from https://4ort.xyz/entity/performance-comparison-of-deep-learning-techniques-for-classification-of-fruits-as-fresh-and-rotten
MLA“Performance Comparison of Deep Learning Techniques for Classification of Fruits as Fresh and Rotten.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/performance-comparison-of-deep-learning-techniques-for-classification-of-fruits-as-fresh-and-rotten.
BibTeX@misc{4ortxyz_performance-comparison-of-deep-learning-techniques-for-classification-of-fruits-as-fresh-and-rotten_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Performance Comparison of Deep Learning Techniques for Classification of Fruits as Fresh and Rotten}}, year = {2026}, url = {https://4ort.xyz/entity/performance-comparison-of-deep-learning-techniques-for-classification-of-fruits-as-fresh-and-rotten}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Performance Comparison of Deep Learning Techniques for Classification of Fruits as Fresh and Rotten — https://4ort.xyz/entity/performance-comparison-of-deep-learning-techniques-for-classification-of-fruits-as-fresh-and-rotten (retrieved 2026-05-24)