Atena Haghighattalab

Application of unmanned aerial systems for high throughput phenotyping of large wheat breeding nurseries

Atena Haghighattalab, Lorena González-Pérez, Suchismita Mondal et al. · Plant Methods · 2016 · 239 citations · Full text

Agriculture, Crop Sciences, Plant Breeding +16

Aerial high‐throughput phenotyping enables indirect selection for grain yield at the early generation, seed‐limited stages in breeding programs

Margaret Krause, Suchismita Mondal, José Crossa et al. · Crop Science · 2020 · 54 citations · Full text

Agriculture, Crop Sciences, Plant Sciences +17

Application of Geographically Weighted Regression to Improve Grain Yield Prediction from Unmanned Aerial System Imagery

Atena Haghighattalab, Jared Crain, Suchismita Mondal et al. · Crop Science · 2017 · 35 citations

Agriculture, Agronomy, Crop Sciences +17

A New Neuro-Fuzzy Approach for Post-earthquake Road Damage Assessment Using GA and SVM Classification from QuickBird Satellite Images

M. Izadi, Ali Mohammadzadeh, Atena Haghighattalab · Journal of the Indian Society of Remote Sensing · 2017 · 27 citations

Computing, Civil Engineering, Computer Science +16

Post-earthquake road damage assessment using region-based algorithms from high-resolution satellite images

Atena Haghighattalab, Ali Mohammadzadeh, Mohammad Javad Valadan Zoej et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2010 · 26 citations

Computing, Earth Sciences, Geoinformatics +17