Proximal hyperspectral sensing and data analysis approaches for field-based plant phenomics. - Kelly R. Thorp; M. A. Gore; Pedro Andrade-Sanchez; A. E. Carmo-Silva; Stephen M. Welch; J. W. White; Andrew N. French (Comput. Electron. Agric., 2015)

TERRA-REF Data Processing Infrastructure. - Maxwell Burnette; Rob Kooper; J. D. Maloney; Gareth S. Rohde; Jeffrey A. Terstriep; Craig Willis; Noah Fahlgren; Todd C. Mockler; Maria Newcomb; Vasit Sagan; Pedro Andrade-Sanchez; Nadia Shakoor; et al. (PEARC, 2018)

Comparing Nadir and Multi-Angle View Sensor Technologies for Measuring in-Field Plant Height of Upland Cotton. - Alison L. Thompson; Kelly R. Thorp; Matthew M. Conley; Diaa M. Elshikha; Andrew N. French; Pedro Andrade-Sanchez; Duke Pauli (Remote. Sens., 2019)

Deployment of Lidar from a Ground Platform: Customizing a Low-Cost, Information-Rich and User-Friendly Application for Field Phenomics Research. - John T. Heun; Said Attalah; Andrew N. French; Kevin R. Lehner; John K. McKay; Jack L. Mullen; Michael J. Ottman; Pedro Andrade-Sanchez (Sensors, 2019)

Development and evaluation of a self-propelled electric platform for high-throughput field phenotyping in wheat breeding trials. - Manuel Pérez-Ruiz; A. Prior; Jorge Martínez-Guanter; Orly Enrique Apolo-Apolo; Pedro Andrade-Sanchez; Gregorio Egea (Comput. Electron. Agric., 2020)

Radix+: High-throughput georeferencing and data ingestion over voluminous and fast-evolving phenotyping sensor data. - Saptashwa Mitra; Maxwell Roselius; Pedro Andrade-Sanchez; John K. McKay; Sangmi Lee Pallickara (Concurr. Comput. Pract. Exp., 2023)