DIGITAL TECHNOLOGIES IN AGRICULTURE. SCANFIELD-5S SMART SYSTEM WITH INTEGRATED DIGITAL SOIL CUBE FOR INNOVATIVE SOLUTIONS IN AGRICULTURE

In the conditions of intensively developing digital technologies, agriculture is also an active environment for their application. The article demonstrates some of the capabilities of the intelligent Scanfield-5S system and the integrated DSC - "Digital Soil Cube" for assessing the condition of the soil. The DSC method uses non-contact measurement of electrical conductivity (ECa) up to 0.4m depth in the soil. The study was usually conducted after harvest and before agricultural operations for the next crop. All collected ECa data are georeferenced. An adaptive soil sampling scheme was applied, which is specific for a given field. The number of sampling sites was determined after applying a graph-analytical method. A high confidence probability (over 80%) was obtained from the ECa data, which is a confirmation of the suitability of the method. Analyses were performed for bulk density (BD), relative humidity (dW), clay content (Clay), organic matter (OM) and activated carbon (C_(act.)) in the soil. The presented results characterize the soil as homogeneous with relatively good biological indicators (OM and C_(act.)). The adaptive soil sampling scheme and the obtained regression models for the soil parameters are specific to the studied field. The regression models for the observed parameters are linear and are presented through spatial resolution maps. The Scanfield-5S system provides solutions such as variable rate maps (VRA), soil carbon prediction, and overall soil health assessment. The digital soil model created using the DSC method is specific to the field under study, but has the potential for universality.

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Publication Details

Journal
INMATEH Agricultural Engineering
Published
2025-08-25
DOI
https://doi.org/10.35633/inmateh-76-46
Citations
1
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
1.75
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article

DIGITAL TECHNOLOGIES IN AGRICULTURE. SCANFIELD-5S SMART SYSTEM WITH INTEGRATED DIGITAL SOIL CUBE FOR INNOVATIVE SOLUTIONS IN AGRICULTURE

Ivan Radoslavov Georgiev, Krasimir Bratoev
1 citations
INMATEH Agricultural Engineering
Smart Agriculture and AI
1.75
article

DIGITAL TECHNOLOGIES IN AGRICULTURE. SCANFIELD-5S SMART SYSTEM WITH INTEGRATED DIGITAL SOIL CUBE FOR INNOVATIVE SOLUTIONS IN AGRICULTURE

Ivan Radoslavov Georgiev, Krasimir Bratoev
article en
1 citations

Abstract

In the conditions of intensively developing digital technologies, agriculture is also an active environment for their application. The article demonstrates some of the capabilities of the intelligent Scanfield-5S system and the integrated DSC - "Digital Soil Cube" for assessing the condition of the soil. The DSC method uses non-contact measurement of electrical conductivity (ECa) up to 0.4m depth in the soil. The study was usually conducted after harvest and before agricultural operations for the next crop. All collected ECa data are georeferenced. An adaptive soil sampling scheme was applied, which is specific for a given field. The number of sampling sites was determined after applying a graph-analytical method. A high confidence probability (over 80%) was obtained from the ECa data, which is a confirmation of the suitability of the method. Analyses were performed for bulk density (BD), relative humidity (dW), clay content (Clay), organic matter (OM) and activated carbon (C_(act.)) in the soil. The presented results characterize the soil as homogeneous with relatively good biological indicators (OM and C_(act.)). The adaptive soil sampling scheme and the obtained regression models for the soil parameters are specific to the studied field. The regression models for the observed parameters are linear and are presented through spatial resolution maps. The Scanfield-5S system provides solutions such as variable rate maps (VRA), soil carbon prediction, and overall soil health assessment. The digital soil model created using the DSC method is specific to the field under study, but has the potential for universality.

INMATEH Agricultural Engineering
Angel Kanchev University of Ruse (BG)
Openalex Percentile: Top 13%
Smart Agriculture and AI
1.75
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DIGITAL TECHNOLOGIES IN AGRICULTURE. SCANFIELD-5S SMART SYSTEM WITH INTEGRATED DIGITAL SOIL CUBE FOR INNOVATIVE SOLUTIONS IN AGRICULTURE — Ivan Radoslavov Georgiev, Krasimir Bratoev · INMATEH Agricultural Engineering (2025) | TGRS Research Map | TGRS