Advances in plant phenotyping for more sustainable crop production

Half Title Page
Series Page
Title Page
Contents
Series list
Introduction
Acknowledgement
Part 1 The development of phenotypingas a research field
	Chapter 1 Origins and drivers of crop phenotyping
		1 Introduction
		2 Technological progress in plant phenotyping
		3 Community integration in plant phenotyping
		4 Plant phenotyping as a tool for enhanced and sustainable crop production
		5 Future trends
		6 Where to look for further information
		7 Acknowledgements
		8 References
	Chapter 2 The evolution of trait selection in breeding: from seeing to remote sensing
		1 Introduction
		2 Selection of progeny and large-scale genetic resources
		3 Characterization of parents and gene discovery panels: increasing throughput with sensors
		4 Traits related to spike fertility and partitioning to yield
		5 Traits to improve lodging resistance in cereals
		6 Selecting for disease resistance
		7 How might trait selection look in the future
		8 Where to look for further information
		9 References
Part 2 Sensor types
	Chapter 3 Advances in optical analysis for crop phenotyping
		1 Introduction
		2 Popular optical sensors
		3 Major challenges in optical sensing
		4 Case studies
		5 Summary and future trends
		6 Where to look for further information
		7 References
	Chapter 4 Advances in the use of thermography in crop phenotyping
		1 Introduction
		2 Foundational theory of thermography
		3 Principles of thermography measurement
		4 Technologies available and thermography methods
		5 Traits measured
		6 Case studies
		7 Main challenges
		8 Summary and future trends
		9 Where to look for further information
		10 References
	Chapter 5 Advances in the use of X-ray computed tomography in crop phenotyping
		1 Introduction
		2 X-ray sources
		3 Interaction of X-rays with material
		4 Detector
		5 Computed tomography systems for crop phenotyping
		6 From sensor to data
		7 Case studies: Phenotyping using computed tomography
		8 Summary and future trends
		9 Where to look for further information
		10 References
Part 3 Carrier/delivery systems
	Chapter 6 Field robots for plant phenotyping
		1 Introduction
		2 Specific challenges associated with field robots
		3 Currently available field robots for phenotyping
		4 Sensors and technologies for phenotyping field robots
		5 Robotic arms for fruit phenotyping and harvesting
		6 Conclusion and future trends
		7 Where to look for further information
		8 References
	Chapter 7 Advances in high-throughput crop phenotyping using unmanned aerial vehicles (UAVs)
		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
Part 4 Data analysis
	Chapter 8 Meeting computer vision and machine learning challenges in crop phenotyping
		1 Introduction
		2 Key dimensions to consider in computer vision applications in plant phenotyping
		3 Creating synergies between research communities: the Computer Vision Problems in Plant Phenotyping (CVPPP) Workshop
		4 Data challenges to accelerate progress in computer vision techniques: leaf counting and segmentation
		5 Recent agriculture-related computer vision challenges
		6 Summary
		7 Where to look for further information
		8 References
	Chapter 9 Digital phenotyping and genotype-to-phenotype (G2P) models to predict complex traits in cereal crops
		1 Introduction
		2 Digital phenotyping as a tool to support breeding programs
		3 Genotype-to-phenotyping (G2P) models: integrating data from phenomics and envirotyping in predictive breeding
		4 Conclusion
		5 Acknowledgements
		6 Where to look for further information
		7 Abbreviations
		8 References
	Chapter 10 The role of crop growth models in crop improvement: integrating phenomics, envirotyping and genomic prediction
		1 Introduction
		2 Crop growth models to understand gene × environment × management interactions
		3 The role of crop simulation modelling in envirotyping
		4 The role of crop models in defining phenotyping methods and targets
		5 Crop models of the future: how can they gain from the current developments in phenotyping?
		6 Integrating statistical genetic models and crop growth models (SGM–CGM)
		7 Where to look for further information
		8 References
Part 5 Case studies
	Chapter 11 Using phenotyping techniques to analyse crop functionality and photosynthesis
		1 Introduction
		2 Understanding photosynthesis and its relationship to crop growth and stress response
		3 Phenotyping photosynthesis in varying environmental conditions
		4 Using gas exchange to analyse photosynthesis
		5 Using porometry and thermal imaging of gs and hyperspectral techniques
		6 Using chlorophyll fluorescence
		7 Photosynthesis and climate change: accounting for heat stress, drought stress and elevated CO2
		8 Case studies
		9 Conclusions
		10 Where to look for further information
		11 References
	Chapter 12 Using phenotyping techniques to predict and model grain yield: translating phenotyping into genetic gain
		1 Introduction
		2 Boosting genetic gain in grain yield by focusing on phenomics
		3 Stomatal conductance
		4 Functional stay green
		5 Case study
		6 Conclusion and future trends
		7 Where to look for further information
		8 References
	Chapter 13 Automated assessment of plant diseases and traits by sensors: how can digital technologies support smart farming and plant breeding?
		1 Introduction
		2 Digital plant disease detection
		3 Complexity of host–pathogen interactions
		4 Complexity in a crop stand
		5 Case study: application of deep learning to foliar plant diseases
		6 Summary
		7 Future trends in research
		8 Where to look for further information
		9 Acknowledgements
		10 References
Index
Cover.pdf