Abstract
ABSTRACT Mapping the apparent soil electrical conductivity (ECa) has become important for the characterization of the soil variability in precision agriculture systems. Could the ECa be used to locate the soil sampling points for mapping the chemical and physical soil attributes? The objective of this work was to examine the relations between ECa and soil attributes in two fields presenting different soil textures. In each field, 50 sampling points were chosen using a path that presented a high variability of ECa obtained from a preliminary ECa map. At each sampling point, the ECa was measured in soil depths of 0-20, 0-40 and 0-60 cm. In addition, at each point, soil samples were collected for the determination of physical and chemical attributes in the laboratory. The ECa data obtained for different soil depths was very similar. A large number of significant correlations between ECa and the soil attributes were found. In the sandy clay loam texture field there was no correlation between ECa and organic matter or between ECa and soil clay and sand content. However, a significant positive correlation was shown for the remaining phosphorus. In the sandy loam texture field the ECa had a significant positive correlation with clay content and a significant negative correlation with sand content. The results suggest that the mapping of apparent soil electrical conductivity does not replace traditional soil sampling, however, it can be used as information to delimit regions in a field that have similar soil attributes.
Highlights
The EC can be used to locate a the soil sampling points for mapping the chemical and physical soil attributes? considering the potential application and demand for studying the relationship between the apparent soil electrical conductivity and soil attributes, the objective of this work was to analyze the relations between apparent soil electrical conductivity and soil attributes that are used for managing precision agriculture systems
Field 1 presented a high coefficient of variation in the concentration of P, Al3+ and m, and a low variation of CEC T, P-rem and sand content (Table 2)
Field 2 showed a greater variability of the 19 soil attributes measured, with 13 showing higher CV values when compared to Field 1
Summary
This position was achieved with the aid of research and development programs including plant breeding, mechanization, and incorporating new methods and techniques of cultivation. It is important to highlight the intensification of no-till planting systems, and more recently, the use of precision agriculture systems. The use of precision agriculture has become an important tool for producing food to meet the demands of the global population, to improve economic return and to preserve the environment. It is described as a set of tools applied to agriculture that enables site specific management of agriculture areas. The application of precision agriculture is generally conducted by considering the spatial and temporal variability of crop fields to increase production
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