Development of Optimized Phenomic Predictors for Efficient Plant Breeding Decisions Using Phenomic-Assisted Selection in Soybean

por Parmley, Kyle, Nagasubramanian, Koushik, Sarkar, Soumik, Ganapathysubramanian, Baskar, Singh, Asheesh K.
Publicado no Plant Phenomics (2019)

Machine Learning Approach for Prescriptive Plant Breeding

por Parmley, Kyle A., Higgins, Race H., Ganapathysubramanian, Baskar, Sarkar, Soumik, Singh, Asheesh K.
Publicado no Sci Rep (2019)

Computer vision and machine learning enabled soybean root phenotyping pipeline

por Falk, Kevin G., Jubery, Talukder Z., Mirnezami, Seyed V., Parmley, Kyle A., Sarkar, Soumik, Singh, Arti, Ganapathysubramanian, Baskar, Singh, Asheesh K.
Publicado no Plant Methods (2020)

Deploying Fourier Coefficients to Unravel Soybean Canopy Diversity

por Jubery, Talukder Z., Shook, Johnathon, Parmley, Kyle, Zhang, Jiaoping, Naik, Hsiang S., Higgins, Race, Sarkar, Soumik, Singh, Arti, Singh, Asheesh K., Ganapathysubramanian, Baskar
Publicado no Front Plant Sci (2017)