Asheesh K. Singh

Best Publications

• Deep Learning for Plant Stress Phenotyping: Trends and Future Perspectives.

  Asheesh Kumar Singh;Baskar Ganapathysubramanian;Soumik Sarkar;Arti Singh

  622
  Citations

• An explainable deep machine vision framework for plant stress phenotyping.

  Sambuddha Ghosal;David Blystone;Asheesh K. Singh;Baskar Ganapathysubramanian

  552
  Citations

• Plant disease identification using explainable 3D deep learning on hyperspectral images

  Koushik Nagasubramanian;Sarah Jones;Asheesh K. Singh;Soumik Sarkar

  357
  Citations

• Raffinose Family Oligosaccharides: Friend or Foe for Human and Plant Health?

  Unknown

  237
  Citations

• A real-time phenotyping framework using machine learning for plant stress severity rating in soybean.

  Hsiang Sing Naik;Jiaoping Zhang;Alec Lofquist;Teshale Assefa

  211
  Citations

• Crop Yield Prediction Integrating Genotype and Weather Variables Using Deep Learning

  Johnathon Shook;Tryambak Gangopadhyay;Linjiang Wu;Baskar Ganapathysubramanian

  181
  Citations

• Application of molecular markers to wheat breeding in Canada

  Harpinder S. Randhawa;Muhammad Asif;Curtis Pozniak;John M. Clarke

  177
  Citations

• Hyperspectral band selection using genetic algorithm and support vector machines for early identification of charcoal rot disease in soybean stems

  Koushik Nagasubramanian;Sarah Jones;Soumik Sarkar;Asheesh K. Singh

  174
  Citations

• Genome-wide association and epistasis studies unravel the genetic architecture of sudden death syndrome resistance in soybean.

  Jiaoping Zhang;Arti Singh;Daren Shane Mueller;Asheesh Kumar Singh

  126
  Citations

• Computer vision and machine learning enabled soybean root phenotyping pipeline

  Kevin G. Falk;Talukder Z. Jubery;Seyed V. Mirnezami;Kyle A. Parmley

  123
  Citations

• Multi-objective optimized genomic breeding strategies for sustainable food improvement

  Unknown

  114
  Citations

• Chromosomal location of the cadmium uptake gene (Cdu1) in durum wheat.

  R E Knox;C J Pozniak;C J Pozniak;C J Pozniak;F R Clarke;F R Clarke;F R Clarke;J M Clarke;J M Clarke;J M Clarke

  111
  Citations

• Computer vision and machine learning for robust phenotyping in genome-wide studies

  Jiaoping Zhang;Hsiang Sing Naik;Teshale Assefa;Soumik Sarkar

  109
  Citations

• Machine Learning Approach for Prescriptive Plant Breeding.

  Kyle A. Parmley;Race H. Higgins;Baskar Ganapathysubramanian;Soumik Sarkar

  107
  Citations

• A deep learning framework to discern and count microscopic nematode eggs

  Adedotun Akintayo;Gregory L. Tylka;Asheesh K. Singh;Baskar Ganapathysubramanian

  104
  Citations

• Genetic variability in arbuscular mycorrhizal fungi compatibility supports the selection of durum wheat genotypes for enhancing soil ecological services and cropping systems in Canada

  A K Singh;C Hamel;R M Depauw;R E Knox

  102
  Citations

• Identification and validation of quantitative trait loci for grain protein concentration in adapted Canadian durum wheat populations.

  Y. Suprayogi;Curtis Jerry Pozniak;F. R. Clarke;J. M. Clarke;J. M. Clarke

  92
  Citations

• Allelic variation at Psy1-A1 and association with yellow pigment in durum wheat grain

  A. Singh;S. Reimer;C. J. Pozniak;F. R. Clarke

  91
  Citations

• Genetic Architecture of Charcoal Rot (Macrophomina phaseolina) Resistance in Soybean Revealed Using a Diverse Panel.

  Sara M. Coser;R. V. Chowda Reddy;Jiaoping Zhang;Daren S. Mueller

  89
  Citations

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

  Kyle Parmley;Koushik Nagasubramanian;Soumik Sarkar;Baskar Ganapathysubramanian

  88
  Citations