Miao C, Pages A, Xu Z, Rodene E, Yang J, Schnable JC ( (2020). Semantic segmentation of sorghum using hyperspectral data identifies genetic associations. Plant Phenomics doi: 10.34133/2020/4216373

Zheng Z, Hey S, Jubery T, Liu T, Yang Y, Coffey L, Miao C, Sigmon B, Schnable JC, Hochholdinger F, Ganapathysubramanian B, Schnable PS (2020). Shared genetic control of root system architecture between Zea mays and Sorghum bicolor. Plant Physiology doi: 10.1104/pp.19.00752

Gaillard M, Benes B, Schnable JC, Miao C (2020). Sorghum Segmentation by Skeleton Extraction. CVPPP 2020 Sorghum Segmentation by Skeleton Extraction

Raju SKK, Thompson AM, Schnable JC (2020). Advances in plant phenomics: From data and algorithms to biological insights. Applications in Plant Sciences doi: 10.1002/aps3.11386

Atefi A, Ge Y, Pitla S, Schnable JC (2020). Robotic detection and grasp of maize and sorghum: stem measurement with contact. Robotics doi: 10.3390/robotics9030058

Gaillard M, Miao C, Schnable JC, Benes B (2020). Voxel carving based 3D reconstruction of sorghum identifies genetic determinants of radiation interception efficiency. Plant Direct doi: 10.1002/pld3.255

Wang R, Qiu Y, Zhou Y, Liang Z, Schnable JC (2020). A high-throughput phenotyping pipeline for image processing and functional growth curve analysis. Plant Phenomics doi: 10.34133/2020/7481687

Miao C, Xu Y, Liu S, Schnable PS, Schnable JC (2020). Increased power and accuracy of causal locus identification in time-series genome-wide association in sorghum. Plant Physiology doi: 10.1104/pp.20.00277

Adams J, Qiu Y, Xu Y, Schnable JC (2020). Plant segmentation by supervised machine learning methods. The Plant Phenome Journal doi: 10.1002/ppj2.20001

Raju SKK, Atkins M, Enerson A, Carvalho DS, Studer AJ, Ganapathysubramanian B, Schnable PS, Schnable JC (2020). Leaf Angle eXtractor - A high throughput image processing framework for leaf angle measurement in maize and sorghum. Applications in Plant Sciences doi: 10.1002/aps3.11385

Ali MA, Wang X, Chen Y, Jiao Y, Mahal NK, Satyanarayana M, Castellano MJ, Schnable JC, Schnable PS, Dong L (2019). Continuous Monitoring of Soil Nitrate Using a Miniature Sensor with Poly (3-octyl-thiophene) and Molybdenum Disulfide Nanocomposite. ACS Applied Materials & Interfaces doi: 10.1021/acsami.9b07120

Ge Y, Atefi A, Zhang H, Miao C, Ramamurthy RK, Sigmon B, Yang J, Schnable JC ( (2019). High-throughput analysis of leaf physiological and chemical traits with VIS-NIR-SWIR spectroscopy: A case study with a maize diversity panel. Plant Methods doi: 10.1186/s13007-019-0450-8

Atefi A, Ge Y, Pitla S, Schnable JC (2019). In vivo human-like robotic phenotyping of leaf traits in maize and sorghum. Computers and Electronics in Agriculture doi: 10.1016/j.compag.2019.104854

Bai G, Ge Y, Scoby D, Leavit B, Irmak S, Graef G, Schnable JC, Awada T. (2019). NU-Spidercam: A large-scale, cable-driven, integrated sensing and robotic system for precision phenotyping, remote sensing, and agronomic research. Computers and Electronics in Agriculture doi: 10.1016/j.compag.2019.03.009

Sruti Das Choudhury, Jin-Gang Yu, Ashok Samala (2018). Leaf Recognition Using Contour Unwrapping and Apex Alignment with Tuned Random Subspace Method. Biosystems Engineering https://doi.org/10.1016/j.biosystemseng.2018.04.001

Sruti Das Choudhury, Srinidhi Bashyam, Yumou Qiu, Ashok Samal, Tala Awada (2018). Holistic and component plant phenotyping using temporal image sequence. Plant Methods doi.org/10.1186/s13007-018-0303-x

S. D. Choudhury, S. Bashyam, V. Stoerger, A. Samal (2018). Leaf Tracking based on Multi-view Image Sequence Analysis for Plant Phenotyping. IEEE Transactions on Image Processing under review

D. Jarquin, R. Howard, A. Xavier, S. D. Choudhury (2018). Increasing Predictive Ability by Modeling Interactions between Environments, Genotype and Canopy Coverage Image Data for Soybeans. Agronomy doi.org/10.3390/agronomy8040051

Yuhang Xu, Yumou Qiu, James Schnable (2018). Functional Modeling of Plant Growth Dynamics. The Plant Phenome Journal doi:10.2135/tppj2017.09.0007

Zhikai Liang, Piyush Pandey, Vincent Stoerger, Yuhang Xu, Yumou Qiu, Yufeng Ge, James Schnable (2017). Conventional and hyperspectral time-series imaging of maize lines widely used in field trials. GigaScience https://doi.org/10.1101/169045