Wheat Physiology Predictor: Predicting Physiological Traits in Wheat from Hyperspectral Reflectance Measurements using Deep Learning
Robert T Furbank¹*, Viridiana Silva-Perez² ³, John R Evans¹, Tony Condon³, Gonzalo M Estavillo³, Wennan He1, Saul Newman¹, Richard Poiré⁴, Ashley Hall⁵ and Zhen He⁵
¹ARC Centre of Excellence for Translational Photosynthesis, Research School of Biology. Australian National University, Canberra, ACT 2601, Australia ²Agriculture Victoria, 110 Natimuk Road, Horsham, Vic 3400, Australia. ³CSIRO Agriculture and Food, PO Box 1700, Canberra, ACT 2601, Australia ⁴Australian Plant Phenomics Facility, Australian National University, Canberra, ACT 2601, Australia ⁵Department of Computer Science and Computer Engineering, La Trobe University Bundoora, Victoria 3086, Australia
*Correspondence robert.furbank@anu.edu.au