Skip to main content
SLU publication database (SLUpub)
Book chapter - Peer-reviewed, 2021

Soil Sensing

Adamchuk, Viacheslav I.; Biswas, Asim; Huang, Hsin-Hui; Holland, Jonathan E.; Taylor, James A.; Stenberg, Bo; Wetterlind, Johanna; Singh, Kanika; Minasny, Budiman; Fidelis, Chris; Yinil, David; Sanderson, Todd; Snoeck, Didier; Field, Damien J.

Abstract

In addition to the overview of diversity in soil sensing technologies, this chapter presents four case studies to illustrate the practical use of these technologies to enhance precision agriculture in Canada, the United Kingdom, Sweden and Papua New Guinea. These studies represent investigations of different instruments, field conditions and targeted soil properties. However, in all four cases, proximal soil sensing was used to predict selected soil properties to generate relatively accurate maps that could help to implement site-specific crop management successfully.

Keywords

Proximal sensing; Soil properties; Soil ECa; Soil spectrometry; Sensor fusion; Thematic maps

Published in

Progress in precision agriculture
2021, pages: 93-132
Title: Sensing Approaches for Precision Agriculture
ISBN: 978-3-030-78430-0, eISBN: 978-3-030-78431-7
Publisher: Springer