Advances in plant phenotyping for more sustainable crop production (Burleigh Dodds Series in Agricultural Science, 117)

Plant phenotyping is an emerging technology that involves the quantitative analysis of structural and functional plant traits. However, it is widely recognised that phenotyping needs to match similar advances in genetics if it is to not create a bottleneck in plant breeding. Advances in plant phenotyping for more sustainable crop production reviews the wealth of research on advances in plant phenotyping to meet this challenge, such as the development of new technologies including hyperspectral sensors such as LIDAR, NIR/SWIR, as well as alternative delivery/carrier systems, such as ground-based proximal distance systems and UAVs. The book details the development of plant phenotyping as a technique to analyse crop roots and functionality, as well as its use in understanding and improving crop response to biotic and abiotic stresses. 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 "Compared to other books that primarily focus on plant phenotyping applications, this book provides an in-depth analysis of plant traits and the critical needs for high throughput phenotyping. In addition, the book is the result of collaborative contributions of broad participation from well-recognized international institutions in plant phenotyping. In summary, this book is a great reference for beginner and expert readers to learn and expand their knowledge about plant phenotyping technologies. It is particularly helpful to readers with no breeding background to explore in-depth information about the origins, concepts, and insights of plant phenotyping in a systematic way." (Book Review Published in Computers and Electronics in Agriculture – Dr Jianfeng Zhou, University of Missouri, Columbia) Plant phenotyping is rapidly developing technology that involves the quantitative analysis of structural and functional plant traits. It is widely recognised that phenotyping needs to match similar advances in genetics if it is to not create a bottleneck in plant breeding. Advances in plant phenotyping for more sustainable crop production reviews the wealth of research on advances in plant phenotyping to meet this challenge, including new technologies such as optical and thermographic sensors, as well as alternative carrier systems such as field robots and unmanned aerial vehicles (UAVs). The book details the use of plant phenotyping to analyse traits such as crop root functionality, yield performance and disease resistance. Edited by a world-renowned researcher in plant science, Advances in plant phenotyping for more sustainable crop production will be a standard reference for university and other researchers in plant science, as well as those in computing and engineering science with a research focus on computer vision, data mining and image-based plant phenotyping. The book will also be a key resource for plant breeders, government and private agencies involved in advocating for a more sustainable agriculture, agricultural engineers, as well as suppliers of agricultural technology. Plant phenotyping is rapidly developing technology that involves the quantitative analysis of structural and functional plant traits. It is widely recognised that phenotyping needs to match similar advances in genetics if it is to not create a bottleneck in plant breeding.

Advances in plant phenotyping for more sustainable crop production reviews the wealth of research on advances in plant phenotyping to meet this challenge, including new technologies such as optical and thermographic sensors, as well as alternative carrier systems such as field robots and unmanned aerial vehicles (UAVs). The book details the use of plant phenotyping to analyse traits such as crop root functionality, yield performance and disease resistance.

Edited by a world-renowned researcher in plant science, Advances in plant phenotyping for more sustainable crop production will be a standard reference for university and other researchers in plant science, as well as those in computing and engineering science with a research focus on computer vision, data mining and image-based plant phenotyping. The book will also be a key resource for plant breeders, government and private agencies involved in advocating for a more sustainable agriculture, agricultural engineers, as well as suppliers of agricultural technology.

"Plant phenotyping is a rapidly developing technology that involves the quantitative analysis of structural and functional plant traits. It is widely recognised that phenotyping needs to match similar advances in genetics if it is to not create a bottleneck in plant breeding. Advances in plant phenotyping for more sustainable crop production reviews the wealth of research on advances in plant phenotyping to meet this challenge, including new technologies such as optical and thermographic sensors, as well as alternative carrier systems such as field robots and unmanned aerial vehicles (UAVs). The book details the use of plant phenotyping to analyse traits such as crop root functionality, yield performance and disease resistance. Edited by a world-renowned researcher in plant science, Advances in plant phenotyping for more sustainable crop production will be a standard reference for university and other researchers in plant science, as well as those in computing and engineering science with a research focus on computer vision, data mining and image-based plant phenotyping. The book will also be a key resource for plant breeders, government and private agencies involved in advocating for a more sustainable agriculture, agricultural engineers, as well as suppliers of agricultural technology."--Provided by publisher This collection reviews the wealth of research on advances in phenotyping and the influential role it plays in identifying the relative importance of genetic, environmental and agronomic factors in determining complex plant traits, such as yield and resource-use efficiency.