Home ›
Entities
› academia
› Advancing capsicum detection in night-time greenhouse environments using deep learning models: Comparative analysis and improved zero-shot detection through fusion with a single-shot detector
Advancing capsicum detection in night-time greenhouse environments using deep learning models: Comparative analysis and improved zero-shot detection through fusion with a single-shot detector
Research article (Franklin Open, 2025) · cited 18× · AI/ML
Advancing capsicum detection in night-time greenhouse environments using deep learning models: Comparative analysis and improved zero-shot detection through fusion with a single-shot detector
Summary
Advancing capsicum detection in night-time greenhouse environments using deep learning models: Comparative analysis and improved zero-shot detection through fusion with a single-shot detector is a scholarly article[1].
Key Facts
Advancing capsicum detection in night-time greenhouse environments using deep learning models: Comparative analysis and improved zero-shot detection through fusion with a single-shot detector'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). Advancing capsicum detection in night-time greenhouse environments using deep learning models: Comparative analysis and improved zero-shot detection through fusion with a single-shot detector. Retrieved May 24, 2026, from https://4ort.xyz/entity/advancing-capsicum-detection-in-night-time-greenhouse-environments-using-deep-learning-models-comparative-analysis-and-i
MLA“Advancing capsicum detection in night-time greenhouse environments using deep learning models: Comparative analysis and improved zero-shot detection through fusion with a single-shot detector.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/advancing-capsicum-detection-in-night-time-greenhouse-environments-using-deep-learning-models-comparative-analysis-and-i.
BibTeX@misc{4ortxyz_advancing-capsicum-detection-in-night-time-greenhouse-environments-using-deep-learning-models-comparative-analysis-and-i_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Advancing capsicum detection in night-time greenhouse environments using deep learning models: Comparative analysis and improved zero-shot detection through fusion with a single-shot detector}}, year = {2026}, url = {https://4ort.xyz/entity/advancing-capsicum-detection-in-night-time-greenhouse-environments-using-deep-learning-models-comparative-analysis-and-i}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Advancing capsicum detection in night-time greenhouse environments using deep learning models: Comparative analysis and improved zero-shot detection through fusion with a single-shot detector — https://4ort.xyz/entity/advancing-capsicum-detection-in-night-time-greenhouse-environments-using-deep-learning-models-comparative-analysis-and-i (retrieved 2026-05-24)
