Quantifying physiological trait variation with automated hyperspectral imaging in rice
T.-C. Ting, A. Souza, R. Imel, C. R. Guadagno, C. Hoagland, Y. Yang, D. R. Wang
This study uses automated hyperspectral imaging to classify nitrogen treatments and predict leaf nitrogen content and carbon-to-nitrogen ratio in rice with high accuracy.
bioRxiv · Dec 14, 2022 · PreprintPlant Biology