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

von Parmley, Kyle, Nagasubramanian, Koushik, Sarkar, Soumik, Ganapathysubramanian, Baskar, Singh, Asheesh K.
Veröffentlicht in Plant Phenomics (2019)

Machine Learning Approach for Prescriptive Plant Breeding

von Parmley, Kyle A., Higgins, Race H., Ganapathysubramanian, Baskar, Sarkar, Soumik, Singh, Asheesh K.
Veröffentlicht in Sci Rep (2019)

Computer vision and machine learning enabled soybean root phenotyping pipeline

von Falk, Kevin G., Jubery, Talukder Z., Mirnezami, Seyed V., Parmley, Kyle A., Sarkar, Soumik, Singh, Arti, Ganapathysubramanian, Baskar, Singh, Asheesh K.
Veröffentlicht in Plant Methods (2020)

Deploying Fourier Coefficients to Unravel Soybean Canopy Diversity

von Jubery, Talukder Z., Shook, Johnathon, Parmley, Kyle, Zhang, Jiaoping, Naik, Hsiang S., Higgins, Race, Sarkar, Soumik, Singh, Arti, Singh, Asheesh K., Ganapathysubramanian, Baskar
Veröffentlicht in Front Plant Sci (2017)