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Quantifying Spatial Variability of Soil Texture in a Georgia Piedmont Floodplain.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Quantifying Spatial Variability of Soil Texture in a Georgia Piedmont Floodplain./
作者:	Platero, Derrick.
面頁冊數:	1 online resource (101 pages)
附註:	Source: Masters Abstracts International, Volume: 84-01.
Contained By:	Masters Abstracts International84-01.
標題:	Soil sciences. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29063523click for full text (PQDT)
ISBN:	9798834005285

Quantifying Spatial Variability of Soil Texture in a Georgia Piedmont Floodplain.
Platero, Derrick.

Quantifying Spatial Variability of Soil Texture in a Georgia Piedmont Floodplain. - 1 online resource (101 pages)

Source: Masters Abstracts International, Volume: 84-01.

Thesis (M.S.)--University of Georgia, 2022.

Includes bibliographical references

Accurate assessment of spatial variability of soil texture is a significant component of agriculture and environmental modeling. Current soil maps lack detail necessary for intensive management like precision agriculture. Determining optimal sample sizes for creating detailed soil maps is challenging because it is cost and labor prohibitive. In this work, random forest models of soil texture were developed using an 80/20 split for training and testing data, respectively, for 50 iterations of sample sizes between 10-65. Sixty-nine samples were taken from a 40-acre crop field in July 2020 and May 2021 at 0-10, 10-40, 40-70, and 70-100 cm and combined with topographic covariates, electromagnetic conductivity (EM31), and spectral reflectance data as predictors. R2 and root mean square error (RMSE) varied by soil property and depth. A sample size of 35-45 samples represented the variability of soil texture most depth increments based on the trends in R2 and RMSE.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798834005285Subjects--Topical Terms:

2122699
Soil sciences.
Subjects--Index Terms:

Digital soil mappingIndex Terms--Genre/Form:

542853
Electronic books.

Quantifying Spatial Variability of Soil Texture in a Georgia Piedmont Floodplain.
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502 $a Thesis (M.S.)--University of Georgia, 2022.
504 $a Includes bibliographical references
520 $a Accurate assessment of spatial variability of soil texture is a significant component of agriculture and environmental modeling. Current soil maps lack detail necessary for intensive management like precision agriculture. Determining optimal sample sizes for creating detailed soil maps is challenging because it is cost and labor prohibitive. In this work, random forest models of soil texture were developed using an 80/20 split for training and testing data, respectively, for 50 iterations of sample sizes between 10-65. Sixty-nine samples were taken from a 40-acre crop field in July 2020 and May 2021 at 0-10, 10-40, 40-70, and 70-100 cm and combined with topographic covariates, electromagnetic conductivity (EM31), and spectral reflectance data as predictors. R2 and root mean square error (RMSE) varied by soil property and depth. A sample size of 35-45 samples represented the variability of soil texture most depth increments based on the trends in R2 and RMSE.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Soil sciences. $3 2122699
653 $a Digital soil mapping
653 $a Machine learning
653 $a Precision agriculture
653 $a Random forest
653 $a Soil
653 $a Soil texture
655 7 $a Electronic books. $2 lcsh $3 542853
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