Abstract
ABSTRACT Sensors used in precision agriculture can perform readings of georeferenced points aiming to determine the electrical conductivity, pH and organic matter. These devices have a high operational capacity, but with little information on the quality of their collected data. This study aimed to establish correlations and differences among electrical conductivity, pH and organic matter data collected by sensor and obtained by laboratory analyses. The results were analyzed by statistical correlations, geostatistical analyses and map generation by the kriging interpolation method of electrical conductivity, pH and organic matter, using dedicated softwares. The sensor showed that the data collected for electrical conductivity, pH and organic matter are reliable and robust, due to the high spatial dependence and correct sampling distance confirmed by the range values.
Highlights
Organic matter, pH and particle size are among the most important soil attributes, as they directly affect crop yield
The soil electrical conductivity data were collected in two areas, both located in Candói (Figure 1), in the south-central region of the Paraná state, Brazil, one of 148.4 ha (25o56′51′′S and 51o28′47′′W) and another of 111.6 ha (25o34′43′′S and 52o03′10′′W) (Figure 2), with a distance of 500 m between them
The soils in the experimental areas are classified as a cambic aluminic Brown Latosol (Embrapa 2013), with a prominent A horizon and particle size class ranging from clayey to very clayey
Summary
PH and particle size are among the most important soil attributes, as they directly affect crop yield. According to Souza et al (2010), detailed knowledge of the spatial variability of fertility attributes may optimize the site-specific application of correctives and fertilizers, improving the control of the crop production system. The soil organic matter plays a fundamental role in the sustainability of agricultural systems, influencing the soil physical, chemical and biological attributes, reflecting on the stability and yield of agroecosystems (Costa et al 2013). According to Malavolta (2006), knowing the soil pH conditions is essential, as too high or too low pH values imply unfavorable conditions to the plant development. Sensors to determine the soil electrical conductivity and other soil attributes, such as pH and dry matter, appear in this context
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
