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On the Description of Soil Variability Through EMI Sensors and Traditional Soil Surveys in Precision Agriculture

  • Bianca OrtuaniEmail author
  • Enrico Casati
  • Camilla Negri
  • Arianna Facchi
Conference paper
Part of the Lecture Notes in Civil Engineering book series (LNCE, volume 67)

Abstract

In Precision Agriculture electromagnetic induction (EMI) sensors are generally used to obtain soil electrical conductivity (EC) maps for the delineation of homogeneous management zones (MZ). EC measurements are related to many physical-chemical soil properties and, moreover, are average values referred to the soil depth explored by the sensor. Consequently, the following questions arise: how reliable are EC measurements to describe soil variability, compared to the data provided by a pedological survey? To which extent MZs correspond to pedological units in a soil map? Texture analysis was conducted on 38 soils samples collected at three depths with a manual auger in a rice farm (province of Pavia, Italy) characterized by sandy-loamy soils. Four pedological units were recognized, mainly based on differences in clay content distribution with depth. Four MZs were recognized from the EC maps. MZ and pedological soil maps showed similar spatial distributions of soil types, particularly at field scale. However, at the farm scale, different MZs may correspond to the same pedological unit, because of the different soil properties to which the two classification approaches are sensitive: clay contents for pedological soil mapping, and sand contents for MZ mapping. Finally, ANOVA was carried out to evaluate the statistical significance of this result.

Keywords

Traditional soil survey EMI sensor Precision agriculture Homogeneous management zones 

Notes

Acknowledgements

The activity presented is conducted in the context of the RISTEC project, co-funded by Regione Lombardia (Operation 1.2.01—EU-RDP 2014–2020).

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Bianca Ortuani
    • 1
    Email author
  • Enrico Casati
    • 1
  • Camilla Negri
    • 1
  • Arianna Facchi
    • 1
  1. 1.Dipartimento di Scienze Agrarie e Ambientali – Produzione, Territorio, AgroenergiaUniversità degli Studi di Milano (DiSAA-UNIMI)MilanItaly

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