Atena Haghighattalab 个人学术档案

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	总计	2019 年至今
引用	442	355
h 指数	7	7
i10 指数	7	6

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Jesse PolandProfessor, King Abdullah University of Science and Technology在 kaust.edu.sa 的电子邮件经过验证
Ravi SinghCIMMYT在 cgiar.org 的电子邮件经过验证
Suchismita MondalAssistant Professor-Winter Wheat Breeder, Montana State University在 montana.edu 的电子邮件经过验证
Jessica RutkoskiUniversity of Illinois at Urbana-Champaign在 illinois.edu 的电子邮件经过验证
J CrainKansas State University, Department of Plant Pathology在 ksu.edu 的电子邮件经过验证
Daljit SinghBayer U.S. LLC (The Climate Corporation)在 climate.com 的电子邮件经过验证
Ivan Ortiz-MonasterioInternational Maize and Wheat Improvement Center (CIMMYT)在 cgiar.org 的电子邮件经过验证
Ali MohammadzadehK. N. Toosi University of Technology在 kntu.ac.ir 的电子邮件经过验证
Mark SorrellsCornell University在 cornell.edu 的电子邮件经过验证
Francisco PintoAssistant Professor, Centre for Crop System Analysis, Wageningen University & Research在 wur.nl 的电子邮件经过验证
Moein IzadiPhD, Western Michigan University, USA在 wmich.edu 的电子邮件经过验证
Mohammad Javad Valadan ZoejProfessor in Photogrammetry and Remote Sensing, K. N. Toosi University of Technology在 kntu.ac.ir 的电子邮件经过验证
Mohammad Taleai (ORCID: 0000-000...Adjunct Prof. at UNSW, Australia | Prof. in GeoInformatics, K.N.Toosi University of Technology, IRAN在 kntu.ac.ir 的电子邮件经过验证
Michael GoreProfessor, Cornell University在 cornell.edu 的电子邮件经过验证
Mahzad KalantariStaff Machine Learning Research Engineer in Video Games @ The Believer Company在 telecom-paristech.org 的电子邮件经过验证
Xu WangUniversity of Florida在 ufl.edu 的电子邮件经过验证

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Atena Haghighattalab

Phenomics Lead, University of Minnesota

没有经过验证的电子邮件地址

Project Management Remote Sensing Phenotyping Digital Agriculture Innovation


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	267	2016
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	42	2020
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	39	2017
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	31	2017
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	21	2010
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	19	2021
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	18	2021
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	4	2010
Utilizing Genomics and Phenomics in CIMMYT wheat breeding S Mondal, JA Poland, A Haghighattalab, D Singh, M Rahmanm, ... CIMMYT, 2016	1	2016
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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