Estimation of wheat kernel moisture content based on hyperspectral reflectance and satellite multispectral imagery

Author:

Wu Zhaocong,Luo JunhanORCID,Rao Keyi,Lin Haoyu,Song Xiaohui

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference44 articles.

1. Acoustic on-line grain moisture meter;Amoodeh;Comput. Electron. Agric.,2006

2. Estimating grassland vegetation cover with remote sensing: A comparison between Landsat-8, Sentinel-2 and PlanetScope imagery;Andreatta;Ecol. Ind.,2022

3. High moisture levels increase yield and quality;Banks;Farming Ahead,1999

4. Physiological maturity in wheat based on kernel water and dry matter;Calderini;Agron. J.,2000

5. Effects of water stress on spectral reflectance of bermudagrass;Caturegli;Sci. Rep.,2020

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