Home › Entities › academia › An Efficient Approach to Fruit Classification and Grading using Deep Convolutional Neural Network

An Efficient Approach to Fruit Classification and Grading using Deep Convolutional Neural Network

Research article (2019 IEEE 5th International Conference for Convergence in Technology (I2CT), 2019) · cited 30× · AI/ML
academia openalex:W3010666932
Press Enter · cited answer in seconds

An Efficient Approach to Fruit Classification and Grading using Deep Convolutional Neural Network

Summary

An Efficient Approach to Fruit Classification and Grading using Deep Convolutional Neural Network is a scholarly article[1].

Key Facts

  • An Efficient Approach to Fruit Classification and Grading using Deep Convolutional Neural Network's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 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). An Efficient Approach to Fruit Classification and Grading using Deep Convolutional Neural Network. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-efficient-approach-to-fruit-classification-and-grading-using-deep-convolutional-neural-network
MLA “An Efficient Approach to Fruit Classification and Grading using Deep Convolutional Neural Network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-efficient-approach-to-fruit-classification-and-grading-using-deep-convolutional-neural-network.
BibTeX @misc{4ortxyz_an-efficient-approach-to-fruit-classification-and-grading-using-deep-convolutional-neural-network_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An Efficient Approach to Fruit Classification and Grading using Deep Convolutional Neural Network}}, year = {2026}, url = {https://4ort.xyz/entity/an-efficient-approach-to-fruit-classification-and-grading-using-deep-convolutional-neural-network}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An Efficient Approach to Fruit Classification and Grading using Deep Convolutional Neural Network — https://4ort.xyz/entity/an-efficient-approach-to-fruit-classification-and-grading-using-deep-convolutional-neural-network (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/an-efficient-approach-to-fruit-classification-and-grading-using-deep-convolutional-neural-network · Last refreshed: