Effect of the internal soil standard on the spectral assessment of clay content

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F22%3A91110" target="_blank" >RIV/60460709:41210/22:91110 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S001670612200180X" target="_blank" >https://www.sciencedirect.com/science/article/pii/S001670612200180X</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.geoderma.2022.115873" target="_blank" >10.1016/j.geoderma.2022.115873</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Effect of the internal soil standard on the spectral assessment of clay content

Popis výsledku v původním jazyce

Soil spectral libraries are being created worldwide due to their enormous potential to train machine learning algorithms that may benefit environmental and agricultural activities. Accordingly, the extent to which the different SSLs maintain their accuracy for unknown samples is important. Recently, the internal soil standard has garnered attention in the soil spectroscopy literature, due to its capacity to rectify systematic effects during spectral measurements. Using the random forest (RF) algorithm, we tested four different well known large SSLs to predict clay content. From these SSLs, two of them were created using the ISS method (GEOCRADLE and Israel) and the other two without (LUCAS and ICRAF ISRIC). Then, three groups of soils from different regions (Israel, Czech Republic, and Brazil) were used as external test samples to examine the SSLs performance. The SSLs that were generated following the ISS protocol yielded the best performance in a group of samples that utilized the same method. It

Název v anglickém jazyce

Effect of the internal soil standard on the spectral assessment of clay content

Popis výsledku anglicky

Soil spectral libraries are being created worldwide due to their enormous potential to train machine learning algorithms that may benefit environmental and agricultural activities. Accordingly, the extent to which the different SSLs maintain their accuracy for unknown samples is important. Recently, the internal soil standard has garnered attention in the soil spectroscopy literature, due to its capacity to rectify systematic effects during spectral measurements. Using the random forest (RF) algorithm, we tested four different well known large SSLs to predict clay content. From these SSLs, two of them were created using the ISS method (GEOCRADLE and Israel) and the other two without (LUCAS and ICRAF ISRIC). Then, three groups of soils from different regions (Israel, Czech Republic, and Brazil) were used as external test samples to examine the SSLs performance. The SSLs that were generated following the ISS protocol yielded the best performance in a group of samples that utilized the same method. It

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

40104 - Soil science

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Geoderma

ISSN

0016-7061

e-ISSN

1872-6259

Svazek periodika

420

Číslo periodika v rámci svazku

Aug

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

14

Strana od-do

0-0

Kód UT WoS článku

000794134400001

EID výsledku v databázi Scopus

2-s2.0-85128456455