Water Content Detection of Potato Leaves Based on Hyperspectral Image

Author:

Sun Hong,Liu Ning,Wu Li,Chen Longsheng,Yang Liwei,Li Minzan,Zhang Qin

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference14 articles.

1. Designing a spectral index to estimate vegetation water content from remote sensing data: part1: theoretical approach;Ceccato;Remote Sensing of Environment,2002

2. Vegetation water content estimation for corn and soybeans using spectral indices derived from MODIS near- and shortwave infrared bands;Chen;Remote Sensing of Environment,2005

3. Cohen, Y. (2013). Fusion of hyperspectral and thermal images for evaluating nitrogen and water status in potato fields for variable rate application.

4. Wheat phenomics through hyper-spectral remote sensing for water deficit stress;Das;International Plant Physiology Congress,2015

5. Assessing corn water stress using spectral reflectance;Dejonge;International Journal of Remote Sensing,2007

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