Author

G. Spangenberg

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Plant Biology· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:imaging· 2 Organism:plant (other)· 2 Research Focus:benchmarking· 1 Approach:machine learning (classical)· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

S. Kant· 2 shared B. Banerjee· 1 shared J. C. O. KOh· 1 shared J. Koh· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 4 mutual co-author links

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2 shared papersPlant Biology

S. Kant

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2 papers

Recent·Most cited

Automated Hyperspectral Vegetation Index Derivation Using A Hyperparameter Optimization Framework for High-Throughput Plant Phenotyping

J. Koh, B. Banerjee, G. Spangenberg, S. Kant

This paper introduces AutoVI, an automated system for generating trait-specific hyperspectral vegetation indices, which outperforms existing indices in estimating chlorophyll and sugar content in wheat.

bioRxiv · Oct 27, 2021Plant Biology

Automated Machine Learning for High-Throughput Image-Based Plant Phenotyping

J. C. O. KOh, G. Spangenberg, S. Kant

This study compares AutoML and transfer learning for image-based plant phenotyping using wheat lodging assessment, finding AutoKeras generates faster models with comparable accuracy.

bioRxiv · Dec 3, 2020Plant Biology