| Machine Learning for High-Throughput Stress Phenotyping in Plants A Singh, B Ganapathysubramanian, AK Singh, S Sarkar Trends in Plant Science 21 (2), 110-124, 2016 | 436 | 2016 |
| An explainable deep machine vision framework for plant stress phenotyping S Ghosal, D Blystone, AK Singh, B Ganapathysubramanian, A Singh, ... Proceedings of the National Academy of Sciences, 10.1073/pnas.1716999115, 2018 | 181 | 2018 |
| Deep Learning for Plant Stress Phenotyping: Trends and Future Perspectives AK Singh, B Ganapathysubramanian, S Sarkar, A Singh Trends in Plant Science, 2018 | 165 | 2018 |
| Application of molecular markers to wheat breeding in Canada HS Randhawa, M Asif, C Pozniak, JM Clarke, RJ Graf, SL Fox, ... Plant Breeding 132 (5), 458-471, 2013 | 128 | 2013 |
| A real-time phenotyping framework using machine learning for plant stress severity rating in soybean HS Naik, J Zhang, A Lofquist, T Assefa, S Sarkar, D Ackerman, A Singh, ... Plant Methods, 2017 | 86 | 2017 |
| Genetic variability in arbuscular mycorrhizal fungi compatibility supports the selection of durum wheat genotypes for enhancing soil ecological services and cropping systems in … AK Singh, C Hamel, RM DePauw, RE Knox Canadian journal of microbiology 58 (3), 293-302, 2012 | 79 | 2012 |
| Chromosomal location of the cadmium uptake gene (Cdu1) in durum wheat RE Knox, CJ Pozniak, FR Clarke, JM Clarke, S Houshmand, AK Singh Genome 52 (9), 741-747, 2009 | 76 | 2009 |
| Allelic variation at Psy1-A1 and association with yellow pigment in durum wheat grain A Singh, S Reimer, CJ Pozniak, FR Clarke, JM Clarke, RE Knox, ... Theoretical and applied genetics 118 (8), 1539-1548, 2009 | 74 | 2009 |
| Genome‐wide association and epistasis studies unravel the genetic architecture of sudden death syndrome resistance in soybean J Zhang, A Singh, DS Mueller, AK Singh The Plant Journal 84 (6), 1124-36, 2015 | 71 | 2015 |
| Compression of fractionated sun-cured and dehydrated alfalfa chops into cubes—Specific energy models P Adapa, G Schoenau, L Tabil, S Sokhansanj, A Singh Bioresource technology 98 (1), 38-45, 2007 | 65 | 2007 |
| Compression of fractionated sun-cured and dehydrated alfalfa chops into cubes: Pressure and density models P Adapa, G Schoenau, L Tabil, S Sokhansanj, A Singh Canadian Biosystems Engineering 47, 3.33- 3.39, 2005 | 65* | 2005 |
| Identification and validation of quantitative trait loci for grain protein concentration in adapted Canadian durum wheat populations Y Suprayogi, CJ Pozniak, FR Clarke, JM Clarke, RE Knox, AK Singh Theoretical and applied genetics 119 (3), 437-448, 2009 | 63 | 2009 |
| Identification and mapping of leaf, stem and stripe rust resistance quantitative trait loci and their interactions in durum wheat A Singh, MP Pandey, AK Singh, RE Knox, K Ammar, JM Clarke, ... Molecular Breeding 31 (2), 405-418, 2013 | 61 | 2013 |
| Computer vision and machine learning for robust phenotyping in genome-wide studies J Zhang, HS Naik, T Assefa, S Sarkar, RV Reddy, A Singh, ... Scientific reports 7, 44048, 2017 | 59 | 2017 |
| Association mapping of yellow pigment in an elite collection of durum wheat cultivars and breeding lines S Reimer, CJ Pozniak, FR Clarke, JM Clarke, DJ Somers, RE Knox, ... Genome 51 (12), 1016-1025, 2008 | 57 | 2008 |
| Identification and mapping in spring wheat of genetic factors controlling stem rust resistance and the study of their epistatic interactions across multiple environments A Singh, RE Knox, RM DePauw, AK Singh, RD Cuthbert, HL Campbell, ... Theoretical and applied genetics 126 (8), 1951-1964, 2013 | 53 | 2013 |
| Hyperspectral band selection using genetic algorithm and support vector machines for early identification of charcoal rot disease in soybean stems K Nagasubramanian, S Jones, S Sarkar, AK Singh, A Singh, ... Plant methods 14 (1), 86, 2018 | 51 | 2018 |
| Plant disease identification using explainable 3D deep learning on hyperspectral images K Nagasubramanian, S Jones, AK Singh, S Sarkar, A Singh, ... Plant Methods 15 (1), 1-10, 2019 | 48 | 2019 |
| A Weakly Supervised Deep Learning Framework for Sorghum Head Detection and Counting S Ghosal, B Zheng, SC Chapman, AB Potgieter, DR Jordan, X Wang, ... Plant Phenomics 2019, 1525874, 2019 | 46 | 2019 |
| Research Article A Weakly Supervised Deep Learning Framework for Sorghum Head Detection and Counting S Ghosal, B Zheng, SC Chapman, AB Potgieter, DR Jordan, X Wang, ... | 46* | 2019 |
