Prediction of Soil Saturated Electrical Conductivity by Statistical Learning
C Mestanza, M Chicchon, P Gutiérrez… - … Management and Big …, 2021 - Springer
The diagnosis of saline soils requires the analysis of electrical conductivity in saturated soil
paste extract. Its analysis is expensive, tedious, and highly time-consuming, therefore,
commercial laboratories analyze the aqueous extract in a 1: 1 ratio and then transform the
value into saturation extract using equations. The research aimed to calibrate a statistical
learning method to predict the electrical conductivity adapted to Peruvian conditions. For
this, we apply different models from highly interpretable to black-box, such as multiple linear …
paste extract. Its analysis is expensive, tedious, and highly time-consuming, therefore,
commercial laboratories analyze the aqueous extract in a 1: 1 ratio and then transform the
value into saturation extract using equations. The research aimed to calibrate a statistical
learning method to predict the electrical conductivity adapted to Peruvian conditions. For
this, we apply different models from highly interpretable to black-box, such as multiple linear …
Prediction of Soil Saturated Electrical Conductivity by Statistical Learning
L Hurtado, C Beltrán - Information Management and Big Data: 8th …, 2022 - books.google.com
The diagnosis of saline soils requires the analysis of electrical conductivity in saturated soil
paste extract. Its analysis is expensive, tedious, and highly time-consuming, therefore,
commercial laboratories analyze the aqueous extract in a 1: 1 ratio and then transform the
value into saturation extract using equations. The research aimed to calibrate a statistical
learning method to predict the electrical conductivity adapted to Peruvian conditions. For
this, we apply different models from highly interpretable to black-box, such as multiple linear …
paste extract. Its analysis is expensive, tedious, and highly time-consuming, therefore,
commercial laboratories analyze the aqueous extract in a 1: 1 ratio and then transform the
value into saturation extract using equations. The research aimed to calibrate a statistical
learning method to predict the electrical conductivity adapted to Peruvian conditions. For
this, we apply different models from highly interpretable to black-box, such as multiple linear …