Special Issue "Proximal Soil Sensing"
Deadline for manuscript submissions: closed (31 December 2018)
Dr. Raphael Viscarra Rossel
Our current understanding of dynamic soil processes is constrained by a lack of efficient measurement capabilities for key soil properties (e.g. nutrients, carbon, biology, water, pH) across space and in time. The development of proximal soil sensing is essential for the dynamic characterisation of soil to help advance our current understanding of such processes and for monitoring them. Recent technological advances in miniaturised, low-power, sensors that are also wireless show considerable promise. Thus, for this special issue we welcome reviews and original research articles on the following topics:
- New soil sensor technologies for sensing biological, physical, and chemical soil properties;
- Development of integrated multi-sensor systems for monitoring soil condition and function (or soil health);
- Subterranean wireless sensor systems used for monitoring biological, physical, and chemical soil properties;
- Sensor data analytics, including signal processing, sampling, multivariate calibration, machine learning, Bayesian modelling, multi-sensor data fusion;
- Novel applications of proximal soil sensing in environmental, agronomic, engineering, robotic, archaeologic, remote sensing and space applications;
- Use of proximal soil sensing data in processed-based models at different spatial and temporal scales.
Proximal soil sensing refers to the development and use of sensors in the field, which obtain signals from soil when the sensor’s detector is in contact with or close to (within 2 m) the soil (Viscarra Rossel et al. 2011: Advances in Agronomy, Vol. 113). This definition precludes remote sensing and laboratory measurements of soil properties with benchtop instruments, although, we acknowledge that combining proximal with remote sensing may be advantageous in some applications; and that the development of many proximal sensors begins in the laboratory.
Dr. Raphael Viscarra Rossel
Dr. Craig R. Lobsey
Manuscript Submission Information
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- Proximal soil sensing
- Sensing with electromagnetic frequencies: gamma, x-ray, ultraviolet, visible, infrared, terahertz, microwave and radio
- Electrochemical and mechanical sensing
- Microelectromechanical systems (MEMS)
- Multi-sensor systems
- Signal processing
- Multivariate and Bayesian statistics
- Sensor fusion
- Environmental monitoring
- Precision agriculture
- Sensor networks
- Wireless sensors
- Subterranean sensing
- Soil biology