Type: Book
This book features five peer-reviewed reviews on the use of unmanned aircraft systems in an array of agricultural settings.
The first chapter provides an overview of unmanned aerial system (UAS) platforms and sensors, flight planning and imagery acquisition, before moving on to consider stitching and ortho-rectification in UAS image processing.
The second chapter discusses approaches to unmanned aerial vehicle (UAV) remote sensing and data analysis for high-throughput field phenotyping and ecophysiological research. The chapter reviews the use of UAV remote sensing to measure key plant traits, such as canopy cover and leaf area index.
The third chapter presents a useful overview of the advantages and limitations of UAV remote sensing platforms and their applications in precision agriculture.
The fourth chapter discusses the quantification of plant water status and the various methods used to assess plant water stress. A section on optical remote sensing, thermal infrared remote sensing and microwave remote sensing of plant status is also included.
The final chapter reviews the application of small unmanned aircraft systems (sUAS) and remote sensing technology in turfgrass systems. The chapter also highlights the various sUAS platforms and sensors necessary to measure and monitor the target of interest.
Chapter taken from: Stafford, J. (ed.), Precision agriculture for sustainability, Burleigh Dodds Science Publishing, Cambridge, UK, 2019, (ISBN: 978 1 78676 204 7; www.bdspublishing.com)
Chapter taken from: Walter, A. (ed.), Advances in plant phenotyping for sustainable crop production, Burleigh Dodds Science Publishing, Cambridge, UK, 2022, (ISBN: 978 1 78676 856 8; www.bdspublishing.com)
Chapter taken from: van Henten, E. and Edan, Y. (ed.), Advances in agri-food robotics, Burleigh Dodds Science Publishing, Cambridge, UK, 2024, (ISBN: 978 1 80146 277 8; www.bdspublishing.com)
Chapter taken from: Lobsey, C. and Biswas, A. (ed.), Advances in sensor technology for sustainable crop production, Burleigh Dodds Science Publishing, Cambridge, UK, 2023, (ISBN: 978 1 78676 977 0; www.bdspublishing.com)