Kenneth A. Sudduth

TL;DR: In this article, the authors developed and analyzed a global soil visible-near infrared (vis-NIR) spectral library, which is currently the largest and most diverse database of its kind, and showed that the information encoded in the spectra can describe soil composition and be associated to land cover and its global geographic distribution, which acts as a surrogate for global climate variability.

TL;DR: In this article, a mobile data acquisition system for ECa was developed using the Geonics EM38 1 sensor, which was mounted on a wooden cart pulled behind an all-terrain vehicle, which also carried a GPS receiver and data collection computer.

TL;DR: In this article, the authors used EM38 data collected in the vertical dipole orientation (0-150cm depth) and Veris 3100 data collected at 0-100cm depth to investigate the relationship between apparent electrical conductivity (EC"a) of the soil profile and measured soil properties.

TL;DR: In this paper, the relationship between grain yield and EC a was examined for each site-year in scatter plots, and a significant relationship was apparent (boundary lines with r 2 > 0.25 in nine out of 13 site-years) was apparent, but climate, crop type and specific field information was needed to explain the shape of the potential yield by EC a interaction.

TL;DR: This chapter reviews proximal soil sensing, describing a large range of technologies that can be used for PSS, including electrochemical and mechanical sensors, telemetry, geographic positioning and elevation, multisensor platforms, and core measuring and down-borehole sensors.