Evaluation of calibration subsetting and new chemometric methods on the spectral prediction of key soil properties in a data‐limited environment
Author:
Affiliation:
1. Soil and Water Sciences Department University of Florida, 2181 McCarty Hall, PO Box 110290 Gainesville FL 32611 USA
2. Resilient Dryland Systems International Crops Research Institute for the Semi‐Arid Tropics (ICRISAT) Patancheru 502324 India
Funder
Division of Integrative Organismal Systems
National Science Foundation
Publisher
Wiley
Subject
Soil Science
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/ejss.12753
Reference46 articles.
1. Improving the prediction performance of a large tropical vis-NIR spectroscopic soil library from Brazil by clustering into smaller subsets or use of data mining calibration techniques
2. Soil condition classification using infrared spectroscopy: A proposition for assessment of soil condition along a tropical forest-cropland chronosequence
3. Critical review of chemometric indicators commonly used for assessing the quality of the prediction of soil attributes by NIR spectroscopy
4. Near-Infrared Analysis as a Rapid Method to Simultaneously Evaluate Several Soil Properties
5. Using a global VNIR soil-spectral library for local soil characterization and landscape modeling in a 2nd-order Uganda watershed
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