Crop Disease Detection using Yolo V5 on Raspberry Pi

Research article (2023 3rd International Conference on Pervasive Computing and Social Networking (ICPCSN), 2023) · cited 17× · AI/ML
Press Enter · cited answer in seconds

Crop Disease Detection using Yolo V5 on Raspberry Pi

Summary

Crop Disease Detection using Yolo V5 on Raspberry Pi is a scholarly article[1].

Key Facts

  • Crop Disease Detection using Yolo V5 on Raspberry Pi'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). Crop Disease Detection using Yolo V5 on Raspberry Pi. Retrieved May 24, 2026, from https://4ort.xyz/entity/crop-disease-detection-using-yolo-v5-on-raspberry-pi
MLA “Crop Disease Detection using Yolo V5 on Raspberry Pi.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/crop-disease-detection-using-yolo-v5-on-raspberry-pi.
BibTeX @misc{4ortxyz_crop-disease-detection-using-yolo-v5-on-raspberry-pi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Crop Disease Detection using Yolo V5 on Raspberry Pi}}, year = {2026}, url = {https://4ort.xyz/entity/crop-disease-detection-using-yolo-v5-on-raspberry-pi}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Crop Disease Detection using Yolo V5 on Raspberry Pi — https://4ort.xyz/entity/crop-disease-detection-using-yolo-v5-on-raspberry-pi (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/crop-disease-detection-using-yolo-v5-on-raspberry-pi · Last refreshed: