GiNA, an Efficient and High-Throughput Software for Horticultural Phenotyping

Research article (PLoS ONE, 2016) · cited 26× · AI/ML

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GiNA, an Efficient and High-Throughput Software for Horticultural Phenotyping

Summary

GiNA, an Efficient and High-Throughput Software for Horticultural Phenotyping is a scholarly article^[1].

Key Facts

GiNA, an Efficient and High-Throughput Software for Horticultural Phenotyping'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

[2] ↑ GiNA, an Efficient and High-Throughput Software for Horticultural Phenotyping — instance of (P31): scholarly article. wikidata.org.

Class ancestry

[1] ↑ GiNA, an Efficient and High-Throughput Software for Horticultural Phenotyping is an instance of scholarly article (scholarly article) [P31, primary]. Wikidata. wikidata.org.

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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). GiNA, an Efficient and High-Throughput Software for Horticultural Phenotyping. Retrieved May 24, 2026, from https://4ort.xyz/entity/gina-an-efficient-and-high-throughput-software-for-horticultural-phenotyping

MLA

“GiNA, an Efficient and High-Throughput Software for Horticultural Phenotyping.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/gina-an-efficient-and-high-throughput-software-for-horticultural-phenotyping.

BibTeX

@misc{4ortxyz_gina-an-efficient-and-high-throughput-software-for-horticultural-phenotyping_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{GiNA, an Efficient and High-Throughput Software for Horticultural Phenotyping}}, year = {2026}, url = {https://4ort.xyz/entity/gina-an-efficient-and-high-throughput-software-for-horticultural-phenotyping}, note = {Accessed: 2026-05-24}}

LLM prompt

According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): GiNA, an Efficient and High-Throughput Software for Horticultural Phenotyping — https://4ort.xyz/entity/gina-an-efficient-and-high-throughput-software-for-horticultural-phenotyping (retrieved 2026-05-24)

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