SorghumBase - Publications

Yield prediction through integration of genetic, environment, and management data through deep learning.

Kick DR, Wallace JG, Schnable JC, Kolkman JM, Alaca B, Beissinger TM, Edwards J, Ertl D, Flint-Garcia S, Gage JL, Hirsch CN, Knoll JE, de Leon N, Lima DC, Moreta DE, Singh MP, Thompson A, Weldekidan T, Washburn JD

Published: 11 January 2023 in G3 (Bethesda, Md.)

Keywords:

Convolutional Neural Network

deep learning

GEM

gene-by-environment interaction (G×E)

Phenotypic Prediction

Pubmed ID: 36625555

DOI: 10.1093/g3journal/jkad006

Details

Comparing Deep Learning Approaches for Understanding Genotype × Phenotype Interactions in Biomass Sorghum.

Zhang Z, Pope M, Shakoor N, Pless R, Mockler TC, Stylianou A

Published: 22 July 2022 in Frontiers in artificial intelligence

Keywords:

convolutional neural networks

deep learning

explainable AI

Phenotyping

single nucleotide polymorphism

sorghum

TERRA-REF

visualization

Pubmed ID: 35860344

DOI: 10.3389/frai.2022.872858

Details

CP-NAM

Reference

Reference

Data Access

Publications

2 Papers

Keywords