Laboratory Visible and Near-Infrared Spectroscopy with Genetic Algorithm-Based Partial Least Squares Regression for Assessing the Soil Phosphorus Content of Upland and Lowland Rice Fields in Madagascar

Laboratory Visible and Near-Infrared Spectroscopy with Genetic Algorithm-Based Partial Least Squares Regression for Assessing the Soil Phosphorus Content of Upland and Lowland Rice Fields in Madagascar

As a laboratory proximal sensing technique, the capability of visible and near-infrared (Vis-NIR) diffused reflectance spectroscopy with partial least squares (PLS) regression to determine soil properties has previously been demonstrated. However, the evaluation of the soil phosphorus (P) content&am...

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Bibliographic Details
Main Authors: Kensuke Kawamura, Yasuhiro Tsujimoto, Tomohiro Nishigaki, Andry Andriamananjara, Michel Rabenarivo, Hidetoshi Asai, Tovohery Rakotoson, Tantely Razafimbelo
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Remote Sensing
Subjects:
Madagascar
oxalate-extractable soil P
partial least squares regression
soil fertility
spectral assessments
waveband selection
Online Access:http://www.mdpi.com/2072-4292/11/5/506

Internet

http://www.mdpi.com/2072-4292/11/5/506

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