About the Book
With the agricultural sector facing mounting pressure to reduce their carbon footprint, greater emphasis has been placed on improving existing components and practices, such as soil health and biodiversity, which have since emerged as key components to achieving regenerative agriculture.
Sensors provide the opportunity to measure crop and soil health at unparalleled scales and resolution. Key developments in sensor technology will help improve our current understanding and optimisation of the complex agricultural systems that make up our global ecosystem.
Advances in sensor technology for sustainable crop production provides a comprehensive review of the wealth of research on key developments in sensor technology to improve monitoring and management of crop health, soil health, weeds and diseases. This collection also reviews advances in proximal and remote sensing techniques to monitor soil health, such as spectroscopy and radiometrics, as well as how sensor technology can be optimised for more targeted irrigation, site-specific nutrient and weed management.
Table of Contents:
Part 1 Advances in remote sensing technologies
1.Advances in remote/aerial sensing of crop water status: Wenxuan Guo, Texas Tech University and Texas A&M AgriLife Research, USA; and Haibin Gu, Bishnu Ghimire and Oluwatola Adedeji, Texas Tech University, USA;
2.Advances in remote sensing technologies for assessing crop health: Michael Schirrmann, Leibniz Institute for Agricultural Engineering and Bioeconomy, Germany;
3.Advances in remote/aerial sensing techniques for monitoring soil health: Jeffrey P. Walker and Nan Ye, Monash University, Australia; and Liujun Zhu, Monash University, Australia and Yangtze Institute for Conservation and Development, Hohai University, China;
Part 2 Advances in proximal sensing technologies
4.Advances in using proximal spectroscopic sensors to assess soil health: Kenneth A. Sudduth and Kristen S. Veum, USDA-ARS, USA;
5.Advances in using proximal ground penetrating radar sensors to assess soil health: Katherine Grote, Missouri University of Science and Technology, USA;
6.Using proximal electromagnetic/electrical resistivity/electrical sensors to assess soil health: Alain Tabbagh,Sorbonne Université, France; and Seger Maud and Cousin Isabelle, INRAE, France;
7.Using ground-penetrating radar to map agricultural subsurface drainage systems for economic and environmental benefit: Barry Allred, USDA-ARS – Soil Drainage Research Unit, USA; and Triven Koganti, Aarhus University, Denmark;
Part 3 Advances in sensor data analytics
8.Advances in machine vision technologies for the measurement of soil texture, structure and topography: Jean-Marc Gilliot, AgroParisTech Paris Saclay University, France; and Ophélie Sauzet, University of Applied Sciences of Western Switzerland, The Geneva Institute of Technology, Architecture and Landscape (HEPIA), Soils and Substrates Group, Institute Land-Nature-Environment (inTNE Institute), Switzerland;
9.Using machine learning to identify and diagnose crop disease: Megan Long, John Innes Centre, UK;
10.Advances in proximal sensor fusion and multi-sensor platforms for improved crop management: David W. Franzen and Anne M. Denton, North Dakota State University, USA;
11.Using remote and proximal sensor data in precision agriculture applications: Luciano S. Shiratsuchi and Franciele M. Carneiro, Louisiana State University, USA; Francielle M. Ferreira, São Paulo State University (UNESP), Brazil; Phillip Lanza and Fagner A. Rontani, Louisiana State University, USA; Armando L. Brito Filho, São Paulo State University (UNESP), Brazil; Getúlio F. Seben Junior, State University of Mato Grosso (UNEMAT), Brazil; Ziany N. Brandao, Brazilian Agricultural Research Corporation (EMBRAPA), Brazil; Carlos A. Silva Junior, State University of Mato Grosso (UNEMAT), Brazil; Paulo E. Teodoro, Federal University of Mato Grosso do Sul (UFMS), Brazil; and Syam Dodla, Louisiana State University, USA;
About the Author :
Craig Lobsey is a Senior Lecturer in Mechatronic Engineering at the University of Southern Queensland, Australia. He is Chair of the International Union of Soil Sciences (IUSS) Working Group on Proximal Soil Sensing (WG-PSS). His research extends across many different sensor technologies and applications, with a focus on improving our understanding and optimisation of agricultural systems. He has previously guest edited a special issue of Sensors on ‘Proximal Soil Sensing’. Dr Asim Biswas is a Professor in the School of Environmental Sciences at the University of Guelph, Canada. He is a member of the Royal Society of Canada College, the President of Canadian Society of Soil Science, Vice-Chair of the IUSS WG-PSS and is an Associate Editor of eight journals. He is internationally known for his research on data-driven sustainable soil management.
Asim Biswas is an Associate Professor in the School of Environmental Sciences at the University of Guelph, Canada. Dr Biswas is the Vice-Chair of the IUSS WG-PSS and is an Associate Editor of seven journals, including the Soil Science Society of America Journal, the Canadian Journal of Soil Science, Vadose Zone Journal, Scientific Reports, Frontiers in Soils, Frontiers in Water, and Sensors. The winner of several early career researcher awards, Dr Biswas is internationally known for his research on data-driven sustainable soil management.
