Artificial Intelligence for Signal Processing and Wireless Communication


Book Description

This book focuses on artifi cial intelligence in the field of digital signal processing and wireless communication. The implementation of machine learning and deep learning in audio, image, and video processing is presented, while adaptive signal processing and biomedical signal processing are also explored through DL algorithms, as well as 5G and green communication. Finally, metaheuristic algorithms of related mathematical problems are explored.




Proximal Soil Sensing


Book Description

This book reports on developments in Proximal Soil Sensing (PSS) and high resolution digital soil mapping. PSS has become a multidisciplinary area of study that aims to develop field-based techniques for collecting information on the soil from close by, or within, the soil. Amongst others, PSS involves the use of optical, geophysical, electrochemical, mathematical and statistical methods. This volume, suitable for undergraduate course material and postgraduate research, brings together ideas and examples from those developing and using proximal sensors and high resolution digital soil maps for applications such as precision agriculture, soil contamination, archaeology, peri-urban design and high land-value applications, where there is a particular need for high spatial resolution information. The book in particular covers soil sensor sampling, proximal soil sensor development and use, sensor calibrations, prediction methods for large data sets, applications of proximal soil sensing, and high-resolution digital soil mapping. Key themes: soil sensor sampling – soil sensor calibrations – spatial prediction methods – reflectance spectroscopy – electromagnetic induction and electrical resistivity – radar and gamma radiometrics – multi-sensor platforms – high resolution digital soil mapping - applications Raphael A. Viscarra Rossel is a scientist at the Commonwealth Scientific and Industrial Research Organisation (CSIRO) of Australia. Alex McBratney is Pro-Dean and Professor of Soil Science in the Faculty of Agriculture Food & Natural Resources at the University of Sydney in Australia. Budiman Minasny is a Senior Research Fellow in the Faculty of Agriculture Food & Natural Resources at the University of Sydney in Australia.




Development of an Integrated Sensor System for Automated On-the-spot Measurement of Physical Soil Properties


Book Description

"Soil physical characteristics are a major indicator of soil fertility and play a key role in agricultural management decisions. Compacted soils can impact plant growth and affect the workability of the soil for tillage operations. Precision agriculture seeks to detect soil zones with similar characteristics and apply management practices specific to those zones. As precision agriculture technologies are more widely adopted across the globe, collection of the data to drive these control systems is becoming increasingly required. Commercially, only a few devices are directed at measuring soil physical properties. Even fewer attempt to apply an automated principle to the collection of data, reducing the time and labour costs associated with conventional soil data gathering. This research seeks to fill this gap by developing a sensor system to directly measure soil physical properties when combined with an automated vehicle, such as Bearcub 24 (Ztractor, Inc, Palo Alto, CA, USA), or equivalent. The sensor system features a cone penetrometer with separate cone and shaft measurements, an air permeameter and CO2 sensor, and a generic apparent electrical conductivity, volumetric water content, and temperature sensor. Testing of the sensor system on a Gator vehicle resulted in several performance issues due to the vehicle’s light suspension and exhaust fumes. The cone penetrometer demonstrated the capability of generating detailed soil profiles and the combined system was able of estimate soil bulk density with reasonable confidence. Further development of the soil sensor system and autonomous electric tractor will allow for dependable measurements of soil physical properties without human involvement, saving time and money while improving the efficacy of proximal soil sensing"--
















Nondestructive Food Evaluation


Book Description

This volume illustrates significant changes in optical, magnetic, ultrasonic, mechanical and biological nondestructive evaluation techniques for online automatic control of food quality evaluation, including X-ray tomography. It presents advances in computer vision, X-ray imaging, ultrasonics, biosensors, and data analysis.