Improved prediction of soil properties with multi-target stacked generalisation on EDXRF spectra-Reference-Cited by-同舟云学术

Improved prediction of soil properties with multi-target stacked generalisation on EDXRF spectra

Published:2021-02 Issue: Volume:209 Page:104231
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Santana Everton Jose,Rodrigues dos Santos Felipe,Mastelini Saulo Martiello,Melquiades Fábio Luiz,Barbon Jr Sylvio

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação de Amparo à Pesquisa do Estado de São Paulo

Fundação Araucária

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Reference58 articles.

1. Improving the prediction accuracy of soil nutrient classification by optimizing extreme learning machine parameters;Suchithra;Inf. Process. Agric.,2020

2. World’s soils are under threat;Montanarella;SOIL,2016

3. The challenge for the soil science community to contribute to the implementation of the UN sustainable development goals;Bouma;Soil Use Manag.,2019

4. From laboratory to proximal sensing spectroscopy for soil organic carbon estimation — a review;Angelopoulou;Sustainability,2020

5. Soil pH value, organic matter and macronutrients contents prediction using optical diffuse reflectance spectroscopy;Wang;Comput. Electron. Agric.,2015

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