Georeferenced tractor wheel slip data for prediction of spatial variability in soil physical properties

Autor:	Kostić, Marko, Rajković, Miloš, Ljubičić, Nataša, Ivošević, Bojana, Radulović, Mirjana, Blagojević, Dragana, Dedović, Nebojša
Rok vydání:	2021
Předmět:	On-the-go measurement Tractor business.product_category 0211 other engineering and technologies Soil science 02 engineering and technology Central composite design Soil compaction (agriculture) Cropping system Variogram Water content 021101 geological & geomatics engineering 2. Zero hunger Sensors 04 agricultural and veterinary sciences 15. Life on land Bulk density 6. Clean water Tillage 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Environmental science Spatial variability Soil properties General Agricultural and Biological Sciences business
Zdroj:	ORCID
ISSN:	1573-1618 1385-2256
Popis:	The upcoming technological breakthrough in the cropping system will offer a more detailed insight into soil-to-plant, man-to-soil, and man-to-plant impacts, thus improving the forecasting and ensuring more efficient in-field management. This study presents various on-the-go sensing procedures which were conducted in order to evaluate the quality of spatial estimations of soil physical properties such as soil compaction, soil moisture content, bulk density and texture. Standard statistical tools showed high positive correlations between soil specific resistance and soil compaction (R2 = .75), soil electromagnetic conductivity and moisture content (R2 = .72) and tractor wheel slip and soil compaction (R2 = .64). Variogram modeling of spatial autocorrelation gave the highest prediction error for tillage resistance (9.85%), followed by cone index (4.49%), moisture content (3.7%), bulk density (1.39%), clay + silt content (.98%), soil electromagnetic conductivity (.95%) and the least error was obtained for tractor wheel slip (.58%). The Central Composite Design (CCD) analysis confirmed significant contribution of soil compaction in the modeling of the specific soil resistance and tractor wheel slip, while soil moisture content and fine particle (clay + silt) content had a major impact on soil electromagnetic conductivity measurement. Soil bulk density had considerable importance in CCD modeling of tractor wheel slip.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc777f4beb19203ce0d5daeb8bf13248 https://link.springer.com/content/pdf/10.1007/s11119-021-09805-y.pdf Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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