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Dayane Aparecida dos Santos, Karen Priscila de Lima, Marcilene Ferrari Barriquello Consolin, Nelson Consolin Filho, Paulo Henrique Março, Patrícia Valderrama (Author)
Pág. e37382
Total acidity and vitamin C were determined by using ultraviolet spectroscopy and multi-product multivariate calibration alternately to the reference methods, the potentiometry and Tillman's, respectively. In the developed multi-products models, differen...
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Thomas Poméon, Bernd Diekkrüger and Rohini Kumar
The prediction of freshwater resources remains a challenging task in West Africa, where the decline of in situ measurements has a detrimental effect on the quality of estimates. In this study, we establish a series of modeling routines for the grid-based...
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Korrakoch Taweesin, Uma Seeboonruang and Phayom Saraphirom
This research studies the relationship between the climate index and the groundwater level of the lower Chao Phraya basin, in order to forecast the groundwater level in the studied area by using Autoregressive Integrated Moving Average with Explanatory (...
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Jie Bao, Zhangshuan Hou, Maoyi Huang and Ying Liu
Effective sensitivity analysis approaches are needed to identify important parameters or factors and their uncertainties in complex Earth system models composed of multi-phase multi-component phenomena and multiple biogeophysical-biogeochemical processes...
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Larize Mazur, Gabrieli Alves de Oliveira, Milene Oliveira Pereira Bicudo, Rosemary Hoffmann Ribani, Noemi Nagata, Patrício Peralta-Zamora
Pág. 369 - 374
This work describes the development of a multivariate model based on near infrared reflectance spectroscopy (NIR) and partial least squares regression for the prediction of the moisture content in yerba mate samples. The multivariate model based on deriv...
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