Rapid elemental prediction of heterogeneous tropical soils from pXRF data: a comparison of models via linear regressions and machine learning algorithms

IF 1.2 4区农林科学 Q4 SOIL SCIENCE

Soil Research Pub Date : 2023-01-01 DOI:10.1071/sr22168

Álvaro José Gomes de Faria, S. H. Silva, Luiza Carvalho Alvarenga Lima, Renata Andrade, Lívia Botelho, L. C. A. Melo, L. Guilherme, N. Curi

引用次数: 0

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基于pXRF数据的非均匀热带土壤元素快速预测:通过线性回归和机器学习算法的模型比较

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来源期刊

Soil Research SOIL SCIENCE-

CiteScore

3.20

自引率

6.20%

发文量

审稿时长

4.5 months

期刊介绍： Soil Research (formerly known as Australian Journal of Soil Research) is an international journal that aims to rapidly publish high-quality, novel research about fundamental and applied aspects of soil science. As well as publishing in traditional aspects of soil biology, soil physics and soil chemistry across terrestrial ecosystems, the journal welcomes manuscripts dealing with wider interactions of soils with the environment. Soil Research is published with the endorsement of the Commonwealth Scientific and Industrial Research Organisation (CSIRO) and the Australian Academy of Science.