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Asheesh Singh
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Associate Professor of Agronomy
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Associate Professor of Agronomy,
Iowa State University
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Department of Agronomy
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Plant Breeding and Genetics
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Articles
Conference Proceedings
Farm Progress Reports
Pre-prints
Farm Progress Reports
(2)
Article
Breeding Charcoal Rot Resistance into Soybeans
Farm Progress Reports (2018)
Brian Scott and A. K. Singh
Charcoal rot (CR) disease caused by Macrophomina phaseolina is responsible for significant yield losses in soybean production. It is ranked ...
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Article
Studies of Soybean Root System Architecture
Farm Progress Reports (2018)
Kevin Falk and Asheesh Singh
Substantial phenotypic variation in root architecture systems between genotypes in soybean germplasm have been reported. Morphology parameters can be used ...
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Pre-prints
(10)
Article
Soil Nutrients and Carbon Dynamics in the Presence of Biochar-swine ...
Preprints (2020)
Chumki Banik, Jacek A. Koziel, Mriganka De, Darcy Bonds, et al.
Biochar application to the soil can improve soil quality and nutrient leaching loss. Recent studies have reported that surficial application ...
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Article
Crop Yield Prediction Integrating Genotype and Weather Variables Using Deep ...
arXiv (2020)
Johnathon Shook, Tryambak Gangopadhyay, Linjiang Wu, Baskar Ganapathysubramanian, et al.
Accurate prediction of crop yield supported by scientific and domain-relevant insights, can help improve agricultural breeding, provide monitoring across diverse ...
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Article
Deep Multi-view Image Fusion for Soybean Yield Estimation in Breeding ...
arXiv (2020)
Luis G. Riera, Matthew E. Carroll, Zhisheng Zhang, Johnathon M. Shook, et al.
Reliable seed yield estimation is an indispensable step in plant breeding programs geared towards cultivar development in major row crops. ...
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Article
How useful is Active Learning for Image-based Plant Phenotyping?
arXiv (2020)
Koushik Nagasubramanian, Talukder Z. Jubery, Fateme Fotouhi Ardakani, Seyed Vahid Mirnezami, et al.
Deep learning models have been successfully deployed for a diverse array of image-based plant phenotyping applications including disease detection and ...
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Article
Usefulness of interpretability methods to explain deep learning based plant ...
arXiv (2020)
Koushik Nagasubramanian, Asheesh K. Singh, Arti Singh, Soumik Sarkar, et al.
Deep learning techniques have been successfully deployed for automating plant stress identification and quantification. In recent years, there is a ...
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Article
Genetic control and geo-climate adaptation of pod dehiscence provide novel ...
arxiv (2018)
Jiaoping Zhang and Asheesh K. Singh
Loss of pod dehiscence is a key step during soybean [Glycine max (L.) Merr.] domestication. Genome-wide association analysis for soybean ...
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Article
A Novel Multirobot System for Distributed Phenotyping
Preprints (2018)
Tianshuang Gao, Homagni Saha, Hamid Emadi, Jiaoping Zhang, et al.
Phenotypic studies require large datasets for accurate inference and prediction. Collecting plant data in a farm can be very labor ...
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Article
Integrating genotype and weather variables for soybean yield prediction using ...
bioRxiv (2018)
Johnathon Shook, Linjiang Wu, Tryambak Gangopadhyay, Baskar Ganapathysubramanian, et al.
Realized performance of complex traits is dependent on both genetic and environmental factors, which can be difficult to dissect due ...
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Article
Explaining hyperspectral imaging based plant disease identification: 3D CNN and ...
arxiv (2018)
Koushik Nagasubramanian, Sarah Jones, Asheesh K. Singh, Arti Singh, et al.
Our overarching goal is to develop an accurate and explainable model for plant disease identification using hyperspectral data. Charcoal rot ...
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Article
Interpretable Deep Learning applied to Plant Stress Phenotyping
arxiv (2017)
Sambuddha Ghosal, David Blystone, Asheesh K. Singh, Baskar Ganapathysubramanian, et al.
Availability of an explainable deep learning model that can be applied to practical real world scenarios and in turn, can ...
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