Singh A - Search Results

1

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

Naik HS, Zhang J, Lofquist A, Assefa T, Sarkar S, Ackerman D, Singh A, Singh AK, Ganapathysubramanian B. Naik HS, et al. Among authors: singh ak, singh a. Plant Methods. 2017 Apr 8;13:23. doi: 10.1186/s13007-017-0173-7. eCollection 2017. Plant Methods. 2017. PMID: 28405214 Free PMC article.

2

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

Zhang J, Singh A, Mueller DS, Singh AK. Zhang J, et al. Among authors: singh ak, singh a. Plant J. 2015 Dec;84(6):1124-36. doi: 10.1111/tpj.13069. Plant J. 2015. PMID: 26561232 Free article.

3

Machine Learning for High-Throughput Stress Phenotyping in Plants.

Singh A, Ganapathysubramanian B, Singh AK, Sarkar S. Singh A, et al. Among authors: singh ak. Trends Plant Sci. 2016 Feb;21(2):110-124. doi: 10.1016/j.tplants.2015.10.015. Epub 2015 Dec 1. Trends Plant Sci. 2016. PMID: 26651918 Free article. Review.

4

Deploying Fourier Coefficients to Unravel Soybean Canopy Diversity.

Jubery TZ, Shook J, Parmley K, Zhang J, Naik HS, Higgins R, Sarkar S, Singh A, Singh AK, Ganapathysubramanian B. Jubery TZ, et al. Among authors: singh ak, singh a. Front Plant Sci. 2017 Jan 19;7:2066. doi: 10.3389/fpls.2016.02066. eCollection 2016. Front Plant Sci. 2017. PMID: 28154570 Free PMC article.

5

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

Zhang J, Naik HS, Assefa T, Sarkar S, Reddy RV, Singh A, Ganapathysubramanian B, Singh AK. Zhang J, et al. Among authors: singh ak, singh a. Sci Rep. 2017 Mar 8;7:44048. doi: 10.1038/srep44048. Sci Rep. 2017. PMID: 28272456 Free PMC article.

6

Leveraging genomic prediction to scan germplasm collection for crop improvement.

de Azevedo Peixoto L, Moellers TC, Zhang J, Lorenz AJ, Bhering LL, Beavis WD, Singh AK. de Azevedo Peixoto L, et al. PLoS One. 2017 Jun 9;12(6):e0179191. doi: 10.1371/journal.pone.0179191. eCollection 2017. PLoS One. 2017. PMID: 28598989 Free PMC article.

7

Main and epistatic loci studies in soybean for Sclerotinia sclerotiorum resistance reveal multiple modes of resistance in multi-environments.

Moellers TC, Singh A, Zhang J, Brungardt J, Kabbage M, Mueller DS, Grau CR, Ranjan A, Smith DL, Chowda-Reddy RV, Singh AK. Moellers TC, et al. Among authors: singh ak, singh a. Sci Rep. 2017 Jun 15;7(1):3554. doi: 10.1038/s41598-017-03695-9. Sci Rep. 2017. PMID: 28620159 Free PMC article.

8

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

Coser SM, Chowda Reddy RV, Zhang J, Mueller DS, Mengistu A, Wise KA, Allen TW, Singh A, Singh AK. Coser SM, et al. Among authors: singh ak, singh a. Front Plant Sci. 2017 Sep 21;8:1626. doi: 10.3389/fpls.2017.01626. eCollection 2017. Front Plant Sci. 2017. PMID: 28983305 Free PMC article.

9

An explainable deep machine vision framework for plant stress phenotyping.

Ghosal S, Blystone D, Singh AK, Ganapathysubramanian B, Singh A, Sarkar S. Ghosal S, et al. Among authors: singh ak, singh a. Proc Natl Acad Sci U S A. 2018 May 1;115(18):4613-4618. doi: 10.1073/pnas.1716999115. Epub 2018 Apr 16. Proc Natl Acad Sci U S A. 2018. PMID: 29666265 Free PMC article.

10

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

Akintayo A, Tylka GL, Singh AK, Ganapathysubramanian B, Singh A, Sarkar S. Akintayo A, et al. Among authors: singh ak, singh a. Sci Rep. 2018 Jun 14;8(1):9145. doi: 10.1038/s41598-018-27272-w. Sci Rep. 2018. PMID: 29904135 Free PMC article.

Save citations to file

Email citations

Send citations to clipboard

Add to Collections

Add to My Bibliography

Create a file for external citation management software

Your saved search

Your RSS Feed

My NCBI Filters

Text availability

Article attribute

Article type

Publication date

24,029 results

Search Page