Home ›
Entities
› academia
› Efficient identification, localization and quantification of grapevine inflorescences and flowers in unprepared field images using Fully Convolutional Networks
Efficient identification, localization and quantification of grapevine inflorescences and flowers in unprepared field images using Fully Convolutional Networks
Research article (Julius Kühn-Institut, 2018) · cited 26× · AI/ML
Efficient identification, localization and quantification of grapevine inflorescences and flowers in unprepared field images using Fully Convolutional Networks
Summary
Efficient identification, localization and quantification of grapevine inflorescences and flowers in unprepared field images using Fully Convolutional Networks is a scholarly article[1].
Key Facts
Efficient identification, localization and quantification of grapevine inflorescences and flowers in unprepared field images using Fully Convolutional Networks's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Efficient identification, localization and quantification of grapevine inflorescences and flowers in unprepared field images using Fully Convolutional Networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/efficient-identification-localization-and-quantification-of-grapevine-inflorescences-and-flowers-in-unprepared-field-ima
MLA“Efficient identification, localization and quantification of grapevine inflorescences and flowers in unprepared field images using Fully Convolutional Networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/efficient-identification-localization-and-quantification-of-grapevine-inflorescences-and-flowers-in-unprepared-field-ima.
BibTeX@misc{4ortxyz_efficient-identification-localization-and-quantification-of-grapevine-inflorescences-and-flowers-in-unprepared-field-ima_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Efficient identification, localization and quantification of grapevine inflorescences and flowers in unprepared field images using Fully Convolutional Networks}}, year = {2026}, url = {https://4ort.xyz/entity/efficient-identification-localization-and-quantification-of-grapevine-inflorescences-and-flowers-in-unprepared-field-ima}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Efficient identification, localization and quantification of grapevine inflorescences and flowers in unprepared field images using Fully Convolutional Networks — https://4ort.xyz/entity/efficient-identification-localization-and-quantification-of-grapevine-inflorescences-and-flowers-in-unprepared-field-ima (retrieved 2026-05-24)
