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.
- Assesses key developments in sensor technology to improve monitoring and management of complex agricultural systems
- Considers the growing influence of proximal crop sensors in assessing, monitoring and measuring the health of agricultural soils
- Explores the potential of remote and aerial sensing towards achieving sustainable crop production through more targeted irrigation management, site-specific nutrient management 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, USA;
2.Advances in remote/aerial sensing technologies to assess crop health: Michael Schirmann, Leibniz Institute of Agricultural Engineering, Germany;
3.Advances in remote/aerial sensing techniques for monitoring soil health: Jeff Walker, Monash University, Australia;
Part 2 Advances in proximal sensing technologies
4.Advances in using proximal spectroscopic sensors to assess soil health: Kenneth A. Sudduth, USDA-ARS, USA;
5.Advances in using proximal ground penetrating radar (GPR) sensors to assess soil health: Katherine Grote, Missouri University of Science and Technology, USA;
6.Using proximal electromagnetic/electrical resistivity (ER)/electrical impedance spectroscopy sensors to assess soil health and water status: Alain Tabbagh, French National Centre for Scientific Research, France;
7.Using GPR to map and improve soil drainage systems for improved crop yields: Barry Allred, USDA-ARS, USA;
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, France;
9.Using machine learning to identify and diagnose crop diseases: Megan Long, John Innes Centre, UK;
10.Advances in proximal sensor fusion/multi-sensor platforms for improved crop management: David Franzen, North Dakota State University, USA;
11.Advances in integrating remote and proximal sensor data for precision agriculture applications: Luciano Shiratsuchi, Louisiana State University, USA;