Skip to main navigation Skip to search Skip to main content

Potential of hyperspectral remote sensing on estimating foliar chemistry and predicting the quality of tea (Camellia sinensis)

Meng Bian*, Andrew K. Skidmore, Dejiang Ni, Jan De Leeuw, Martin Schlerf, Yanfang Liu, Teng Fei

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

Fingerprint

Dive into the research topics of 'Potential of hyperspectral remote sensing on estimating foliar chemistry and predicting the quality of tea (Camellia sinensis)'. Together they form a unique fingerprint.
Sort by

Chemistry

Agricultural and Biological Sciences

Food Science