Author

S. Chapman

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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Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

B. Zheng· 1 shared C. C. Barry· 1 shared J. Cava· 1 shared J. Clements· 1 shared J. Olson· 1 shared Q. Chen· 1 shared R. L. Groves· 1 shared T. Chen· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 13 mutual co-author links

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1 shared paperEcology

B. Zheng

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2 papers

Recent·Most cited

Integration of APSIM and PROSAIL models to develop more precise radiometric estimation of crop traits using deep learning

Q. Chen, B. Zheng, T. Chen, S. Chapman

This paper integrates crop growth and radiative transfer models with deep learning to improve the estimation of crop traits from hyperspectral data.

bioRxiv · Feb 2, 2021Ecology

Conjugated linoleic acid as a novel insecticide targeting the agricultural pest Leptinotarsa decemlineata

J. Clements, R. L. Groves, J. Cava, C. C. Barry, S. Chapman, J. Olson

This study evaluates conjugated linoleic acid as an insecticide against Colorado potato beetles, finding increased larval mortality and reduced egg viability.

bioRxiv · Jul 25, 2019Ecology