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.
Asim Biswas: Introduction
Viacheslav I. Adamchuk and Hsin-Hui Huang: Introduction and Case Study 4.1
Jonathan E. Holland and James A. Taylor: Case Study 4.2
Bo Stenberg and Johanna Wetterlind: Case Study 4.3
Kanika Singh, Budiman Minasny, Chris Fidelis, David Yinil, Todd Sanderson, Didier Snoeck and Damien J. Field: Case Study 4.4
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Acknowledgments
Case study 4.1 was supported by funds from the Natural Science and Engineering Research Council of Canada (NSERC) Discovery Grant and through Ontario Ministry of Agriculture, Food and Rural Affairs (OMAFRA) New Directions Research Program (NDRP). Special thanks to Paul Hermans of DuPont Pioneer (Richmond, Ontario, Canada) for providing Veris MSP data and to Jeremy Nixon of J & H Nixon Farms and Michael Schouten of Schouten Dairy Farms. The authors acknowledge the contributions of the past and current PA and Sensor Systems (PASS) research team members Dr. Wenjun Ji, Dr. Long Qi, Maxime Leclerc, Dr. Yuanyuan Fu, and Matthieu Claustre for performing soil sampling.
The authors of case study 4.2 are very grateful for the assistance of Mr. M. Botha, Dr. D. Ronga and Dr. D. Cammarano with the data collection for this study. Dr. Philippe Lagacherie provided assistance with the RFA modelling and Mr. Rick Taylor (DUALEM Inc.) calculated the integrated ECa variable. Financial support was provided from the Scottish Society of Crop Research for soil sample analysis costs.
For Case study 4.3, Stiftelsen Lantbruksforskning is acknowledged for funding project H1033307 and Eurofins Agro, Kristianstad, Sweden, for providing data and selection of farms.
Case study 4.4 is supported by the Australian Centre for International Agricultural Research project ‘Optimising soil management and health in PNG integrated Cocoa farming systems’; Field D; Australian Centre for International Agricultural Research (ACIAR) Research and Development Programs (R&D Programs).
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Adamchuk, V.I. et al. (2021). Soil Sensing. In: Kerry, R., Escolà , A. (eds) Sensing Approaches for Precision Agriculture. Progress in Precision Agriculture. Springer, Cham. https://doi.org/10.1007/978-3-030-78431-7_4
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