Comparing narrow and broad-band vegetation indices to estimate leaf chlorophyll content in planophile crop canopies

By Massimo Vincini, Ermes Frazzi. Precision Agriculture, 2011

67 citations recorded by the source corpus.

Subfields: Ecology, Global and Planetary Change, Plant Science

View Paper: https://www.semanticscholar.org/paper/99b7141be28a089fb2d778c6b610494c26eb0a95

Citations in the corpus

• Predicting cover crop biomass by lightweight UAS-based RGB and NIR photography: an applied photogrammetric approach (2017, unknown): “2014) NDVI NIR780 NIR700 NIR780þNIR700 REIP 700þ 40 NIR670=2þNIR780=2 NIR700 NIR740 NIR700 (Vincini and Frazzi 2011)”