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Associate Professor
1559 Agronomy 716 Farm House Ln
(515) 294-0948
Associate Professor
1559 Agronomy 716 Farm House Ln
(515) 294-0948


Dr. Arti Singh is an Associate Professor in the Department of Agronomy at Iowa State University with more than 15 years of plant breeding experience. After obtaining her PhD degree from G.B. Pant University in India, she worked as a Post-doctoral fellow at the University of Saskatchewan and then at Agriculture and Agri-Food Canada prior to joining Iowa State University.

She has authored two textbooks ‘Disease and Insect Resistance in Plants’ and “Plant Breeding and Cultivar Development.” She has published peer reviewed research articles in reputed and high impact journals including the Proceeding of National Academy of Sciences and Trends in Plant Science. She has been awarded competitive grants by USDA-NIFA Agriculture and Food Research Initiative (AFRI) Food and Agriculture Cyberinformatics and Tools (FACT), National Science Foundation, Iowa Soybean Association, IA Soybean Research Center, and United Soybean Board.

She leads a green (Vigna radiata) and black gram (Vigna mungo) breeding program focused on developing new varieties for plant-based protein markets. Her research projects are geared towards harnessing genetic diversity for genetic gain, utilization of advanced data analytics particularly machine and deep learning for early disease and stress signatures, and genetic/genomic studies on abiotic and biotic stress resistance.

Areas of Expertise:Plant Breeding
Interdepartmental Programs:

Predictive Phenomics in Plants (P3)



Graduate Student
Yanben Shen Photo
Graduate Student
Naresh photo
Research Breeding Associate
1301 Agronomy
+1 651-5300757
Graduate Student
1212 Agronomy Hall
+1 402 415 9339
Interim Department Chair
Morrill Professor
Associate Chair of Academics
MS Agronomy Program Director
Portrait of Dr. Mary Wiedenhoeft, Morrill Professor
2104B/1126H Agronomy, 716 Farm House Ln
(515) 294-3274


Machine learning for high throughput stress phenotyping in plants
A Singh, B Ganapathysubramanian, A Kumar Singh, S SarkarTrends in plant science 21 (2), 110–124

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 115 (18), 4613-4618

Deep Learning for Plant Stress Phenotyping: Trends and Future Perspectives
Singh, A.K., Ganapathysubramanian, B., Sarkar, S. and Singh, A.
Trends in Plant Science.

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 13 (1), 23

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

Genome-wide association and epistasis studies unravel the genetic architecture of sudden death syndrome resistance in soybean
Jiaoping Zhang , Arti Singh, Daren Shane Mueller and Asheesh Kumar Singh
The Plant Journal

Ntire 2018 challenge on spectral reconstruction from rgb images
B Arad, O Ben-Shahar, R Timofte, L Van Gool, L Zhang, MH Yang, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …

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

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

Computer vision and machine learning for robust phenotyping in genome-wide studies
J Zhang, HS Naik, T Assefa, S Sarkar, RVC Reddy, A Singh, ...
Scientific reports 7, 44048

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

A Weakly Supervised Deep Learning Framework for Sorghum Head Detection and Counting
G Sambuddha, Z Bangyou, CC Scott, PB Andries, JR David, W Xuemin, ...
Plant Phenomics

A deep learning framework to discern and count microscopic nematode eggs
A Akintayo, GL Tylka, AK Singh, B Ganapathysubramanian, A Singh, ...
Scientific Reports 8 (1), 9145

Stripe rust and leaf rust resistance QTL mapping, epistatic interactions, and co-localization with stem rust resistance loci in spring wheat evaluated over three continents
A Singh, RE Knox, RM DePauw, AK Singh, RD Cuthbert, HL Campbell, ...
Theoretical and applied genetics 127 (11), 2465-2477

Main and epistatic loci studies in soybean for Sclerotinia sclerotiorum resistance reveal multiple modes of resistance in multi-environments
TC Moellers, A Singh, J Zhang, J Brungardt, M Kabbage, DS Mueller, ...
Scientific reports 7 (1), 3554

Genetic architecture of Charcoal Rot (Macrophomina phaseolina) Resistance in Soybean revealed using a diverse panel
SM Coser, RV Chowda Reddy, J Zhang, DS Mueller, A Mengistu, ...
Frontiers in plant science 8, 1626

Disease and insect resistance in plants
DP Singh, A Singh
Science Publishers

Genetic mapping of common bunt resistance and plant height QTL in wheat
A Singh, RE Knox, RM DePauw, AK Singh, RD Cuthbert, S Kumar, ...
Theoretical and applied genetics 129 (2), 243-256

Genetics of pre-harvest sprouting resistance in a cross of Canadian adapted durum wheat genotypes
AK Singh, RE Knox, JM Clarke, FR Clarke, A Singh, RM DePauw, ...
Molecular breeding 33 (4), 919-929