Search research articles
Contact Us
Filters
Showing results (1-10 of 57) with videos related to
Page
of 6
Sort By:
ISA Transactions
|
May 22, 2012
Comments on the "PI and fuzzy logic controllers for shunt active power filter--a report" [ISA Trans. 51 (2012) 163-169]
Rambir Singh, Asheesh K Singh
G3 (Bethesda, Md.)
|
December 15, 2019
Genetic Control and Geo-Climate Adaptation of Pod Dehiscence Provide Novel Insights into Soybean Domestication
Jiaoping Zhang, Asheesh K Singh
Frontiers in Plant Science
|
November 5, 2021
PATRIOT: A Pipeline for Tracing Identity-by-Descent for Chromosome Segments to Improve Genomic Prediction in Self-Pollinating Crop Species
Johnathon M Shook, Daniela Lourenco, Asheesh K Singh
Trends in Plant Science
|
January 10, 2025
Digital twins for the plant sciences
Baskar Ganapathysubramanian, Soumik Sarkar, Arti Singh, et al.
The Plant Journal : for Cell and Molecular Biology
|
November 13, 2015
Genome-wide association and epistasis studies unravel the genetic architecture of sudden death syndrome resistance in soybean
Jiaoping Zhang, Arti Singh, Daren S Mueller, et al.
Crop Science
|
July 28, 2023
Using machine learning enabled phenotyping to characterize nodulation in three early vegetative stages in soybean
Clayton N Carley, Melinda J Zubrod, Somak Dutta, et al.
Plant Phenomics (Washington, D.C.)
|
December 14, 2020
Development of Optimized Phenomic Predictors for Efficient Plant Breeding Decisions Using Phenomic-Assisted Selection in Soybean
Kyle Parmley, Koushik Nagasubramanian, Soumik Sarkar, et al.
Scientific Reports
|
November 22, 2019
Machine Learning Approach for Prescriptive Plant Breeding
Kyle A Parmley, Race H Higgins, Baskar Ganapathysubramanian, et al.
Plant Methods
|
August 28, 2019
Plant disease identification using explainable 3D deep learning on hyperspectral images
Koushik Nagasubramanian, Sarah Jones, Asheesh K Singh, et al.
Proceedings of the National Academy of Sciences of the United States of America
|
April 19, 2018
An explainable deep machine vision framework for plant stress phenotyping
Sambuddha Ghosal, David Blystone, Asheesh K Singh, et al.
Page
of 6
Search research articles
Search
Showing results (1-10 of 57) with videos related to
Sort By:
Page
of 6
ISA Transactions
|
May 22, 2012
Comments on the "PI and fuzzy logic controllers for shunt active power filter--a report" [ISA Trans. 51 (2012) 163-169]
Rambir Singh, Asheesh K Singh
G3 (Bethesda, Md.)
|
December 15, 2019
Genetic Control and Geo-Climate Adaptation of Pod Dehiscence Provide Novel Insights into Soybean Domestication
Jiaoping Zhang, Asheesh K Singh
Frontiers in Plant Science
|
November 5, 2021
PATRIOT: A Pipeline for Tracing Identity-by-Descent for Chromosome Segments to Improve Genomic Prediction in Self-Pollinating Crop Species
Johnathon M Shook, Daniela Lourenco, Asheesh K Singh
Trends in Plant Science
|
January 10, 2025
Digital twins for the plant sciences
Baskar Ganapathysubramanian, Soumik Sarkar, Arti Singh, et al.
The Plant Journal : for Cell and Molecular Biology
|
November 13, 2015
Genome-wide association and epistasis studies unravel the genetic architecture of sudden death syndrome resistance in soybean
Jiaoping Zhang, Arti Singh, Daren S Mueller, et al.
Crop Science
|
July 28, 2023
Using machine learning enabled phenotyping to characterize nodulation in three early vegetative stages in soybean
Clayton N Carley, Melinda J Zubrod, Somak Dutta, et al.
Plant Phenomics (Washington, D.C.)
|
December 14, 2020
Development of Optimized Phenomic Predictors for Efficient Plant Breeding Decisions Using Phenomic-Assisted Selection in Soybean
Kyle Parmley, Koushik Nagasubramanian, Soumik Sarkar, et al.
Scientific Reports
|
November 22, 2019
Machine Learning Approach for Prescriptive Plant Breeding
Kyle A Parmley, Race H Higgins, Baskar Ganapathysubramanian, et al.
Plant Methods
|
August 28, 2019
Plant disease identification using explainable 3D deep learning on hyperspectral images
Koushik Nagasubramanian, Sarah Jones, Asheesh K Singh, et al.
Proceedings of the National Academy of Sciences of the United States of America
|
April 19, 2018
An explainable deep machine vision framework for plant stress phenotyping
Sambuddha Ghosal, David Blystone, Asheesh K Singh, et al.
Page
of 6