Evaluating the Potentials of PLSR and SVR Models for Soil Properties Prediction Using Field Imaging, Laboratory VNIR Spectroscopy and Their Combination-Reference-Cited by-同舟云学术

Evaluating the Potentials of PLSR and SVR Models for Soil Properties Prediction Using Field Imaging, Laboratory VNIR Spectroscopy and Their Combination

Published:2023 Issue:2 Volume:136 Page:1399-1425
ISSN:1526-1506
Container-title:Computer Modeling in Engineering & Sciences
language:en
Short-container-title:

Author:

Karray Emna,Elmannai Hela,Toumi Elyes,Hedi Gharbia Mohamed,Meshoul Souham,Aichi Hamouda,Ben Rabah Zouhaier

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Computer Science Applications,Modeling and Simulation,Software

Link

https://www.techscience.com/CMES/v136n2/51591/pdf

Reference64 articles.

1. Expected climate change impacts on soil erosion rates: A review;Nearing;Journal of Soil and Water Conservation,2004

2. Big data analysis for sustainable agriculture on a geospatial cloud framework;Delgado;Frontiers in Sustainable Food Systems,2019

3. Determination of parameter uncertainty for quantitative analysis of shaddock peel pectin using linear and nonlinear near-infrared spectroscopic models;Chen;Analytical Letters,2017

4. Precision farming in vegetables;Nabi;Journal of Pharmacognosy and Phytochemistry,2017

5. Determination of organic matter in soil using near-infrared spectroscopy and partial least squares regression;Fidêncio;Communications in Soil Science and Plant Analysis,2002

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