Estimation of vegetation indices for high-throughput phenotyping of wheat using aerial imaging.

The proposed approach validates that it is reasonable to accurately estimate VI using deep neural networks. The results prove that RGB images contain sufficient information for VI estimation. It demonstrates that low-cost VI measurement is possible with standard RGB cameras.