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Atena Haghighattalab
Atena Haghighattalab
Phenomics Lead, University of Minnesota
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Cited by
Cited by
Year
Application of unmanned aerial systems for high throughput phenotyping of large wheat breeding nurseries
A Haghighattalab, L González Pérez, S Mondal, D Singh, D Schinstock, ...
Plant Methods 12, 1-15, 2016
2572016
APPLICATION OF GEOGRAPHICALLY WEIGHTED REGRESSION TO IMPROVE GRAIN YIELD PREDICTION FROM UNMANNED AERIAL SYSTEM IMAGERY
A Haghighattalab, J Crain, S Mondal, J Rutkoski, RP Singh, J Poland
Crop Science, 2017
372017
Aerial high‐throughput phenotyping enables indirect selection for grain yield at the early generation, seed‐limited stages in breeding programs
MR Krause, S Mondal, J Crossa, RP Singh, F Pinto, A Haghighattalab, ...
Crop science 60 (6), 3096-3114, 2020
352020
A new neuro-fuzzy approach for post-earthquake road damage assessment using GA and SVM classification from QuickBird satellite images
M Izadi, A Mohammadzadeh, A Haghighattalab
Journal of the Indian Society of Remote Sensing 45, 965-977, 2017
262017
Post-earthquake road damage assessment using region-based algorithms from high-resolution satellite images
A Haghighattalab, A Mohammadzadeh, MJV Zoej, M Taleai
Image and Signal Processing for Remote Sensing XVI 7830, 439-447, 2010
202010
Development of whole‐genome prediction models to increase the rate of genetic gain in intermediate wheatgrass (Thinopyrum intermedium) breeding
J Crain, A Haghighattalab, L DeHaan, J Poland
The Plant Genome 14 (2), e20089, 2021
152021
Improving wheat yield prediction using secondary traits and high-density phenotyping under heat-stressed environments
MM Rahman, J Crain, A Haghighattalab, RP Singh, J Poland
Frontiers in plant science 12, 633651, 2021
142021
Détection de dommages et évaluation des dégâts du réseau routier après un séisme, en utilisant des images QuickBird haute résolution
A Haghighattalab, M JAVAD VALADAN ZOEJ, A Mohammadzadeh, ...
XYZ, 41-47, 2010
42010
Utilizing Genomics and Phenomics in CIMMYT wheat breeding
S Mondal, JA Poland, A Haghighattalab, D Singh, M Rahmanm, ...
CIMMYT, 2016
12016
Integration of High-Throughput Phenotyping to Genomic Prediction Models to Improve Yield Prediction in Wheat
J Poland, A Haghighattalab, D Singh, X Wang, MR Krause, F Pinto, ...
Plant and Animal Genome XXVI Conference (January 13-17, 2018), 2018
2018
Design and Implementation of a System for Roads Occlusion Detection Using Fuzzy Logic and Support Vector Machine (Case Study: Bam Earthquake)
M Izadi, A Mohamadzadeh, A Haghighattalab
Journal of Geomatics Science and Technology 5 (3), 265-278, 2016
2016
High-throughput phenotyping of large wheat breeding nurseries using unmanned aerial system, remote sensing and GIS techniques
A Haghighattalab
Kansas State University, 2016
2016
Application of Unmanned Aerial Systems for High-Throughput Phenotyping in Wheat.
J Poland, D Singh, A Haghighattalab, D Schinstock
ASA, CSSA and SSSA International Annual Meetings (2015), 2015
2015
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Articles 1–13