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Advances in high-throughput crop phenotyping using unmanned aerial vehicles (UAVs)

Code: 9781801465298
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

Chapter synopsis: The objective of this chapter is to introduce the agronomic community to remote sensing terms and technologies and show how remote sensing methods can be used in field phenotyping. This chapter discusses approaches to 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: canopy cover; leaf area index; plant emergence, density and tillering; plant height, growth and lodging; biomass; flowering, fruiting and yield; senescence; and canopy temperature.

DOI: 10.19103/AS.2022.0102.09
Table of contents 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

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