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Full Description
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.
Contents
Chapter 1 - The use of unmanned aerial systems (UASs) in precision agriculture: Chunhua Zhang, Algoma University, Canada; and John M. Kovacs and Dan Walters, Nipissing University, Canada;
1 Introduction
2 Platforms and sensors
3 Flight planning and imagery acquisition
4 Image processing: stitching and ortho-rectification
5 UAS imagery applications
6 Image analysis
7 Case study
8 Future trends and conclusion
9 Acknowledgements
10 Where to look for further information
11 References
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 2 - Advances in high-throughput crop phenotyping using unmanned aerial vehicles (UAVs): Helge Aasen, Institute of Agricultural Sciences, ETH Zurich and Remote Sensing Team, Division of Agroecology and Environment, Agroscope, Switzerland; and Lukas Roth, Institute of Agricultural Sciences, ETH Zurich, Switzerland;
1 Introduction
2 Remote sensing tools: unmanned aerial vehicles and flight protocols
3 Major plant traits that can be extracted using unmanned aerial vehicle remote sensing
4 Conclusion and future trends
5 Authors' contributions
6 Acknowledgements
7 References
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 3 - Advances in agricultural unmanned aerial vehicles (UAVs): Tarin Paz-Kagan, Ben Gurion University of the Negev, Israel;
1 Introduction
2 Unmanned aerial vehicle remote sensing sensors
3 Platforms for precision agriculture
4 Flight planning and pre-processing
5 Application in precision agriculture
6 Conclusion and future trends
7 Where to look for further information
8 References
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 4 - 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;
1 Introduction
2 Quantification of plant water status
3 Electromagnetic radiation and interaction with matter
4 Optical remote sensing of plant water status
5 Remote sensing of plant water status using thermal infrared
6 Microwave remote sensing of plant water status
7 Conclusion and future trends in research
8 Where to look for further information
9 References
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)
