Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/38310

Title: Temporal Stability of Soil Electrical Conductivity Patterns: Contact versus Non-Contact Sensors
Authors: Serrano, João
Shahidian, Shakib
Marques da Silva, José
Moral, F.
Keywords: pastures
spatial variability
management zones
Issue Date: 2025
Publisher: Hellenic Society of Agricultural Engineers
Citation: Serrano, J., Shahidian, S., Marques Da Silva, J., Moral, F. Temporal stability of soil electrical conductivity patterns: Case study with contact and non-contact sensors in dryland pastures. Oral communication In: AgEng2024-Conference Proceedings, Nikolaos Katsoulas (Ed.), Published by Hellenic Society of Agricultural Engineers, p. 245-252. Atenas, Grécia. ISBN: 978-618-82194-1-0. February 2025.
Abstract: Previous research has shown that the amount of soil spatial variability across a farm and within an agricultural field is of key importance to determine the potential benefits of adopting effective management strategies. Precision agriculture (PA) intends to validate technological tools that capture soil and crop spatial variability, which constitute the basis for the establishment of differentiated management zones (MZs). Soil apparent electrical conductivity (ECa) sensors are commonly used to survey soil spatial variability. It is essential for surveys to have temporal stability to ensure correct medium- and long-term decisions. The aim of this study was to assess the temporal stability of MZ patterns using different types of ECa sensors, namely an ECa contact-type sensor (Veris 2000 XA) and an electromagnetic induction sensor (EM-38). These sensors were used in four fields of dryland pastures in the Alentejo region of Portugal. The first survey was carried out in October 2018, and the second was carried out in September 2020. Data processing involved synchronizing the geographic coordinates obtained using the two types of sensors in each location and establishing MZs based on a geostatistical analysis of elevation and ECa data. The ECa measurements showed statistically significant correlations in all experimental fields (correlation coefficients between 0.449 and 0.618), which were reflected in the spatially stable patterns of the MZ maps (averaging 52% of the total area across the four experimental fields). This is a good indicator of potential for the use of ECa in medium and long-term management decisions. These results provide perspectives for future developments, which will need to occur in the creation of algorithms that allow the spatial variability and temporal stability of ECa to be validated through smart soil sampling and analysis to generate recommendations for sustained soil amendment or fertilization.
URI: http://hdl.handle.net/10174/38310
Type: lecture
Appears in Collections:MED - Comunicações - Em Congressos Científicos Internacionais

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