Home ›
Entities
› academia
› HUMRC-PS: Revolutionizing plant phenotyping through Regional Convolutional Neural Networks and Pelican Search Optimization
HUMRC-PS: Revolutionizing plant phenotyping through Regional Convolutional Neural Networks and Pelican Search Optimization
Research article (Evolving Systems, 2024) · cited 28× · AI/ML
HUMRC-PS: Revolutionizing plant phenotyping through Regional Convolutional Neural Networks and Pelican Search Optimization
Summary
HUMRC-PS: Revolutionizing plant phenotyping through Regional Convolutional Neural Networks and Pelican Search Optimization is a scholarly article[1].
Key Facts
HUMRC-PS: Revolutionizing plant phenotyping through Regional Convolutional Neural Networks and Pelican Search Optimization'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). HUMRC-PS: Revolutionizing plant phenotyping through Regional Convolutional Neural Networks and Pelican Search Optimization. Retrieved May 24, 2026, from https://4ort.xyz/entity/humrc-ps-revolutionizing-plant-phenotyping-through-regional-convolutional-neural-networks-and-pelican-search-optimizatio