Analysis of hyperspectral images for detection of drought stress and recovery in maize plants in a high-throughput phenotyping platform

MLA

Paul Scheunders, et al. “Analysis of Hyperspectral Images for Detection of Drought Stress and Recovery in Maize Plants in a High-Throughput Phenotyping Platform.” Computers and Electronics in Agriculture, vol. 162, July 2019, pp. 749–58. EBSCOhost, https://doi.org/10.1016/j.compag.2019.05.018.

APA

Paul Scheunders, Mohd Shahrimie Mohd Asaari, Stien Mertens, Nathalie Wuyts, Stijn Dhondt, & Dirk Inzé. (2019). Analysis of hyperspectral images for detection of drought stress and recovery in maize plants in a high-throughput phenotyping platform. Computers and Electronics in Agriculture, 162, 749–758. https://doi.org/10.1016/j.compag.2019.05.018

Chicago

Paul Scheunders, Mohd Shahrimie Mohd Asaari, Stien Mertens, Nathalie Wuyts, Stijn Dhondt, and Dirk Inzé. 2019. “Analysis of Hyperspectral Images for Detection of Drought Stress and Recovery in Maize Plants in a High-Throughput Phenotyping Platform.” Computers and Electronics in Agriculture 162 (July): 749–58. doi:10.1016/j.compag.2019.05.018.