Rubi Quiñones

University of Nebraska–Lincoln — United States

Agricultural and Biological Sciences · Life Sciences

5h-index66citations22works1.22yr avg
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Research Topics

Smart Agriculture and AI(12), Remote Sensing in Agriculture(8), Genomics and Phylogenetic Studies(5), Spectroscopy and Chemometric Analyses(2), Horticultural and Viticultural Research(2)

Publications22 total

Introducing Concurrent Imaging and Unidimensional Analytics for Plant Stress Responses
Plants·2026Open Access
Unidimensional Phenotypes using Concurrent Imaging Collected Via a High-Throughput Imaging System
Zenodo (CERN European Organization for Nuclear Research)·2025Open Access
Integrating Diversity and Agency into Social-Ecological Resilience Metrics
2025· 1 citedOpen Access
GCNet: A Deep Learning Framework for Enhanced Grape Cluster Segmentation and Yield Estimation Incorporating Occluded Grape Detection with a Correction Factor for Indoor Experimentation
Journal of Imaging·2025· 5 citedOpen Access
Integrating diversity and agency into social-ecological resilience metrics
Ecology and Society·2025Open Access
OSC-CO2: coattention and cosegmentation framework for plant state change with multiple features
Frontiers in Plant Science·2023· 6 citedOpen Access
How academic podcasting can change academia and its relationship with society: A conversation and guide
Frontiers in Communication·2023· 9 citedOpen Access
GCNet: Generating True Yield Estimates by Incorporating the Unseen Grapes Using a Correction Factor
2022Open Access
New multimedia resources for ecological resilience education in modern university classrooms
Ecosphere·2022· 5 citedOpen Access
Cosegmentation for Plant Phenotyping+ (CosegPP+) Data Repository Collected Via a High-Throughput Imaging System
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
Cosegmentation for Plant Phenotyping+ (CosegPP+) Data Repository Collected Via a High-Throughput Imaging System
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
Single-Aspect Phenotypes for Modality, Perspective, and Time Collected Via a High-Throughput Imaging System
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
Accurate Co-Segmentation in High-Throughput And High Dimensional Plant Image Sequences
2022Open Access
Accurate Co-Segmentation in High-Throughput And High Dimensional Plant Image Sequences
2022Open Access
Accurate Co-Segmentation in High-Throughput And High Dimensional Plant Image Sequences
2022Open Access
CoPPNet: A Cosegmentation-Based Deep Learning Network for Accurate Foreground Segmentation in Plant Imagery
2021Open Access
Multi-feature data repository development and analytics for image cosegmentation in high-throughput plant phenotyping
PLoS ONE·2021· 17 citedOpen Access
Cosegmentation for Plant Phenotyping (CosegPP) Data Repository Collected Via a High-Throughput Imaging System
Zenodo (CERN European Organization for Nuclear Research)·2021Open Access
Cosegmentation for Plant Phenotyping (CosegPP) Data Repository Collected Via a High-Throughput Imaging System
Zenodo (CERN European Organization for Nuclear Research)·2021Open Access
Data-Driven Techniques for Plant Phenotyping Using Hyperspectral Imagery
2020· 2 cited
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Frequent Co-authors

Francisco Muñoz‐Arriola(13), Sruti Das Choudhury(11), Ashok Samal(10), Conor D. Barnes(2), Julie A. Fowler(2), Syeda Mariah Banu(2), Vitor Hirata Sanches(2), Jonathan Galeano Vivas(2), Joseph H. A. Guillaume(2), Takuya Iwanaga(2), Jan Kwakkel(2), Allyson Quinlan(2), Juan Rocha(2), Anne‐Sophie Crépin(2), Vasilis Dakos(2), Jonathan F. Donges(2), Steven J. Lade(2), Samal. Ashok(2), Justin Firestone(1), Brittany A. Duncan(1)