Deep Convolutional Neural Networks Exploit High-Spatial- and -Temporal-Resolution Aerial Imagery to Phenotype Key Traits in Miscanthus
Themes: Feedstock Production
Keywords: AI/ML, Geospatial, Remote Sensing
Varela, S., Zheng, X., Njuguna, J.N., Sacks, E.J., Allen, D.P., Ruhter, J., Leakey, A.D.B. Oct. 25, 2022. “Deep Convolutional Neural Networks Exploit High-Spatial- and -Temporal-Resolution Aerial Imagery to Phenotype Key Traits in Miscanthus.” Remote Sensing. DOI: 10.3390/rs14215333.