Home › Entities › academia › Automated grapevine flower detection and quantification method based on computer vision and deep learning from on-the-go imaging using a mobile sensing platform under field conditions

Automated grapevine flower detection and quantification method based on computer vision and deep learning from on-the-go imaging using a mobile sensing platform under field conditions

Research article (Computers and Electronics in Agriculture, 2020) · cited 77× · AI/ML
academia openalex:W3088481470
Press Enter · cited answer in seconds

Automated grapevine flower detection and quantification method based on computer vision and deep learning from on-the-go imaging using a mobile sensing platform under field conditions

Summary

Automated grapevine flower detection and quantification method based on computer vision and deep learning from on-the-go imaging using a mobile sensing platform under field conditions is a scholarly article[1].

Key Facts

  • Automated grapevine flower detection and quantification method based on computer vision and deep learning from on-the-go imaging using a mobile sensing platform under field conditions'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). Automated grapevine flower detection and quantification method based on computer vision and deep learning from on-the-go imaging using a mobile sensing platform under field conditions. Retrieved May 24, 2026, from https://4ort.xyz/entity/automated-grapevine-flower-detection-and-quantification-method-based-on-computer-vision-and-deep-learning-from-on-the-go
MLA “Automated grapevine flower detection and quantification method based on computer vision and deep learning from on-the-go imaging using a mobile sensing platform under field conditions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automated-grapevine-flower-detection-and-quantification-method-based-on-computer-vision-and-deep-learning-from-on-the-go.
BibTeX @misc{4ortxyz_automated-grapevine-flower-detection-and-quantification-method-based-on-computer-vision-and-deep-learning-from-on-the-go_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automated grapevine flower detection and quantification method based on computer vision and deep learning from on-the-go imaging using a mobile sensing platform under field conditions}}, year = {2026}, url = {https://4ort.xyz/entity/automated-grapevine-flower-detection-and-quantification-method-based-on-computer-vision-and-deep-learning-from-on-the-go}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automated grapevine flower detection and quantification method based on computer vision and deep learning from on-the-go imaging using a mobile sensing platform under field conditions — https://4ort.xyz/entity/automated-grapevine-flower-detection-and-quantification-method-based-on-computer-vision-and-deep-learning-from-on-the-go (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/automated-grapevine-flower-detection-and-quantification-method-based-on-computer-vision-and-deep-learning-from-on-the-go · Last refreshed: