| High-resolution satellite imagery applications in crop phenotyping: An overview C Zhang, A Marzougui, S Sankaran Computers and Electronics in Agriculture 175, 105584, 2020 | 108 | 2020 |
| High-throughput field phenotyping of Ascochyta blight disease severity in chickpea C Zhang, W Chen, S Sankaran Crop protection 125, 104885, 2019 | 49 | 2019 |
| Phenotyping of Plant Biomass and Performance Traits Using Remote Sensing Techniques in Pea (Pisum sativum, L.) JJ Quirós Vargas, C Zhang, JA Smitchger, RJ McGee, S Sankaran Sensors 19 (9), 2031, 2019 | 45 | 2019 |
| Dissecting the genetic architecture of aphanomyces root rot resistance in lentil by QTL mapping and genome-wide association study Y Ma, A Marzougui, CJ Coyne, S Sankaran, D Main, LD Porter, D Mugabe, ... International Journal of Molecular Sciences 21 (6), 2129, 2020 | 41 | 2020 |
| Advanced imaging for quantitative evaluation of Aphanomyces root rot resistance in lentil A Marzougui, Y Ma, C Zhang, RJ McGee, CJ Coyne, D Main, S Sankaran Frontiers in Plant Science 10, 383, 2019 | 37 | 2019 |
| High-throughput phenotyping of seed/seedling evaluation using digital image analysis C Zhang, Y Si, J Lamkey, RA Boydston, KA Garland-Campbell, ... Agronomy 8 (5), 63, 2018 | 36 | 2018 |
| Image-based phenotyping of flowering intensity in cool-season crops C Zhang, WA Craine, RJ McGee, GJ Vandemark, JB Davis, J Brown, ... Sensors 20 (5), 1450, 2020 | 29 | 2020 |
| 3D robotic system development for high-throughput crop phenotyping C Zhang, H Gao, J Zhou, A Cousins, MO Pumphrey, S Sankaran IFAC-PapersOnLine 49 (16), 242-247, 2016 | 23 | 2016 |
| Crop performance evaluation of chickpea and dry pea breeding lines across seasons and locations using phenomics data C Zhang, RJ McGee, GJ Vandemark, S Sankaran Frontiers in Plant Science 12, 640259, 2021 | 20 | 2021 |
| Development of an automated high-throughput phenotyping system for wheat evaluation in a controlled environment C Zhang, MO Pumphrey, J Zhou, Q Zhang, S Sankaran Transactions of the ASABE 62 (1), 61-74, 2019 | 18 | 2019 |
| Non-invasive sensing techniques to phenotype multiple apple tree architectures C Zhang, S Serra, J Quirós-Vargas, W Sangjan, S Musacchi, S Sankaran Information Processing in Agriculture 10 (1), 136-147, 2023 | 12 | 2023 |
| Spectrometric techniques for elemental profile analysis associated with bitter pit in apples CE Zúñiga, S Jarolmasjed, R Sinha, C Zhang, L Kalcsits, A Dhingra, ... Postharvest biology and technology 128, 121-129, 2017 | 12 | 2017 |
| High‐throughput phenotyping of canopy height in cool‐season crops using sensing techniques C Zhang, WA Craine, RJ McGee, GJ Vandemark, JB Davis, J Brown, ... Agronomy Journal 113 (4), 3269-3280, 2021 | 11 | 2021 |
| Can High-Resolution Satellite Multispectral Imagery Be Used to Phenotype Canopy Traits and Yield Potential in Field Conditions? S Sankaran, A Marzougui, JP Hurst, C Zhang, JC Schnable, Y Shi Transactions of the ASABE 64 (3), 879-891, 2021 | 10 | 2021 |
| Investigating the potential of satellite imagery for high-throughput field phenotyping applications S Sankaran, C Zhang, JP Hurst, A Marzougui, ... Autonomous air and ground sensing systems for agricultural optimization and …, 2020 | 9 | 2020 |
| Development of automated high-throughput phenotyping system for controlled environment studies C Zhang, M Pumphrey, J Zhou, H Gao, Q Zhang, S Sankaran 2017 ASABE Annual International Meeting, 1, 2017 | 6 | 2017 |
| Non-invasive evaluation of Ascochyta blight disease severity in chickpea using field asymmetric ion mobility spectrometry and hyperspectral imaging techniques C Zhang, T Chen, W Chen, S Sankaran Crop Protection 165, 106163, 2023 | 5 | 2023 |
| Detection of canola flowering using proximal and aerial remote sensing techniques C Zhang, W Craine, JB Davis, LR Khot, A Marzougui, J Brown, SH Hulbert, ... Autonomous Air and Ground Sensing Systems for Agricultural Optimization and …, 2018 | 5 | 2018 |
| Biogenic VOCs emission profiles associated with plant-pest interaction for phenotyping applications M Valencia-Ortiz, A Marzougui, C Zhang, S Bali, S Odubiyi, V Sathuvalli, ... Sensors 22 (13), 4870, 2022 | 4 | 2022 |
| Monitoring tar spot disease in corn at different canopy and temporal levels using aerial multispectral imaging and machine learning C Zhang, B Lane, M Fernández-Campos, A Cruz-Sancan, DY Lee, ... Frontiers in Plant Science 13, 1077403, 2023 | 3 | 2023 |
