The prediction of soil chemical and physical properties from mid-infrared spectroscopy and combined partial least-squares regression and neural networks (PLS-NN) analysis

By L. Janik, S. Forrester, A. Rawson. 2009

153 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Artificial Intelligence, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/5b29dd43f7241f243e0c233382497f178a35c58a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Kristen S. Veum
2. Kenneth A. Sudduth
3. R. Kremer
4. R. Miles
5. K. W. Goyne

Citations in the corpus

• Biological indicators of soil quality and soil organic matter characteristics in an agricultural management continuum (2013, methodology): “As demonstrated previously in other studies (Chaudhary et al. 2012; Janik et al. 2009; Sudduth et al. 2012), DRIFT and VNIR spectra performed well in the estimation of soil organic C, total N, and active C using PLSR and MLR.”