Mapping soil and pasture variability with an electromagnetic induction sensor

• Published in: Computers and electronics in agriculture Vol. 73; no. 1; pp. 7 - 16
• Main Authors: Serrano, João M., Peça, José O., Marques da Silva, José R., Shaidian, Shakib
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 01.07.2010; [Amsterdam]: Elsevier Science; Elsevier
• Subjects: Agronomy. Soil science and plant productions; Apparent soil electrical conductivity; Biological and medical sciences; electromagnetic induction sensor; electromagnetic radiation; equipment performance; Fundamental and applied biological sciences. Psychology; Pastures; Precision agriculture; probes (equipment); sensors; soil analysis; soil heterogeneity; soil surveys; Portugal; Portugal, Alentejo; Precision agriculture; Pastures; Apparent soil electrical conductivity; Cartography; Soils; Electrical conductivity; Pasture; Electromagnetic induction; Measurement sensor; Property of soil
• ISSN: 0168-1699; 1872-7107
• DOI: 10.1016/j.compag.2010.03.008

The general objective of this study was to test a non-contact electromagnetic induction probe to evaluate the soil and pasture variability in a precision agriculture project. Assessment of the variability of soil and vegetation in a permanent pasture is the basis for management of variable rate fertilization, which is the main instrument used by farmers for improvements in permanent pasture in Alentejo, Portugal. The traditional process of sampling and evaluation of the soil is very demanding in terms of time, labour and reagents, and can derail a project of precision agriculture. This paper describes the major steps followed by the authors to simplify the methodology of soil evaluation in a permanent pasture based on measuring the apparent soil electrical conductivity. Tests were carried out in a parcel of approximately 6 ha, which was subdivided into 28 m × 28 m squares. The soil samples and the evaluation of apparent electrical conductivity were geo-referenced with a global positioning system. The geospatial data were processed by ArcGIS software and the statistical analysis resulted in significant correlation coefficient values between apparent electrical conductivity and altitude, soil pH and pasture dry matter yield.