| Broadacre crop yield estimation using imaging spectroscopy from unmanned aerial systems (UAS): A field-based case study with snap bean A Hassanzadeh, F Zhang, J van Aardt, SP Murphy, SJ Pethybridge Remote Sensing 13 (16), 3241, 2021 | 23 | 2021 |
| Comparison of UAS-based structure-from-motion and LiDAR for structural characterization of short broadacre crops F Zhang, A Hassanzadeh, J Kikkert, SJ Pethybridge, J van Aardt Remote Sensing 13 (19), 3975, 2021 | 21 | 2021 |
| Yield modeling of snap bean based on hyperspectral sensing: a greenhouse study A Hassanzadeh, J van Aardt, SP Murphy, SJ Pethybridge Journal of Applied Remote Sensing 14 (2), 024519-024519, 2020 | 17 | 2020 |
| Growth stage classification and harvest scheduling of snap bean using hyperspectral sensing: A greenhouse study A Hassanzadeh, SP Murphy, SJ Pethybridge, J van Aardt Remote Sensing 12 (22), 3809, 2020 | 15 | 2020 |
| Evaluation of Leaf Area Index (LAI) of Broadacre crops using UAS-Based LiDAR point clouds and multispectral imagery F Zhang, A Hassanzadeh, J Kikkert, SJ Pethybridge, J van Aardt IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 9 | 2022 |
| Toward a structural description of row crops using UAS-based LiDAR point clouds F Zhang, A Hassanzadeh, J Kikkert, S Pethybridge, J van Aardt IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 5 | 2020 |
| Toward Crop Maturity Assessment via UAS-Based Imaging Spectroscopy—A Snap Bean Pod Size Classification Field Study A Hassanzadeh, F Zhang, SP Murphy, SJ Pethybridge, J van Aardt IEEE Transactions on Geoscience and Remote Sensing 60, 1-17, 2021 | 4 | 2021 |
| Forecasting Table Beet Root Yield Using Spectral and Textural Features from Hyperspectral UAS Imagery MS Saif, R Chancia, S Pethybridge, SP Murphy, A Hassanzadeh, ... Remote Sensing 15 (3), 794, 2023 | 2 | 2023 |
| Toward maturity assessment of snap bean crops: A best-case greenhouse scenario A Hassanzadeh, SP Murphy, SJ Pethybridge, J van Aardt, F Zhang IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 2 | 2020 |
| White Mold and Weed Detection in Snap Beans Using UAS-Based Lidar F Zhang, A Hassanzadeh, J Kikkert, SJ Pethybridge, J van Aardt IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 1 | 2022 |
| On the Use of Imaging Spectroscopy from Unmanned Aerial Systems (UAS) to Model Yield and Assess Growth Stages of a Broadacre Crop A Hassanzadeh Rochester Institute of Technology, 2022 | 1 | 2022 |
| Plant Counts in Dense Red Beet Crops: A Computer Vision Approach A Hassanzadeh, J van Aardt, J Kikkert, S Pethybridge, S Murphy, D Cross 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 6508 …, 2021 | 1 | 2021 |
| UAS-based Crop Yield Prediction Via Hyperspectral Imaging Using a Novel Feature Selection Module A Hassanzadeh, J van Aardt AGU Fall Meeting Abstracts 2021, B15I-1542, 2021 | | 2021 |
| Multi-objective Wavelength Selection for Snap-bean Yield Assessment Using Remote Sensing: A Field Study A Hassanzadeh, JA van Aardt, F Zhang, SP Murphy, SJ Pethybridge AGU Fall Meeting Abstracts 2020, B004-0006, 2020 | | 2020 |
| Yield Modelling and Harvest Scheduling of Snap-bean Using Remote Sensing: A Greenhouse Study A Hassanzadeh, JA van Aardt, SJ Pethybridge, SP Murphy AGU Fall Meeting Abstracts 2019, B31K-2416, 2019 | | 2019 |
| Enhancing Snap Bean Yield Prediction Through Synergistic Integration of Uas-Based Lidar and Multispectral Imagery F Zhang, A Hassanzadeh, P Letendre, J Kikkert, S Pethybridge, ... Available at SSRN 4583974, 0 | | |
Jan van AardtProfessor, Chester F. Carlson Center for Imaging Science, RITVerified email at cis.rit.edu
