Prediction of Soil Carbon Contents Using Smartphone Images and Multiple Regression Analysis
Author:
Affiliation:
1. Professor, Department of Fruit Tree, Korea National College of Agriculture and Fisheries, Jeonju 54874, Korea
Publisher
Korean Society of Soil Science and Fertilizer
Subject
General Medicine
Link
http://www.kjssf.org/articles/pdf/doi/10.7745/KJSSF.2022.55.3.228.pdf
Reference15 articles.
1. Variance Inflation Factor: As a Condition for the Inclusion of Suppressor Variable(s) in Regression Analysis
2. From Laboratory to Proximal Sensing Spectroscopy for Soil Organic Carbon Estimation—A Review
3. Soil carbon science for policy and practice
4. Predicting soil organic matter from cellular phone images under varying soil moisture
5. Verification on PTF (Pedo-Transfer Function) estimating soil water retention based on soil properties
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1. Quantifying soil organic matter for sustainable agricultural land management with soil color and machine learning technique;Agronomy Journal;2024-01-10
2. Statistical Estimation of Soil Carbon Stocks in Chungcheong Province through Digital Soil Mapping and Multiple Linear Regression;Korean Journal of Soil Science and Fertilizer;2023-08-31
3. Statistical Estimation of Soil Carbon Content Using Smartphone Photographs with Machine Learning Algorithms;2023
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