Intelligent image analysis for plant phenotyping

"Domesticated crops are the result of artificial selection for particular phenotypes and, in some case, natural selection for an adaptive trait. Intelligent Image Analysis for Plant Phenotyping reviews information on time-saving techniques using computer vision and imaging technologies. These methodologies provide an automated, non-invasive and scalable mechanism to define and collect plant phenotypes. Beautifully illustrated with numerous color images, this book is invaluable for those working in the emerging fields at the intersection of computer vision and plant sciences"--

Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- Preface -- Acknowledgments -- Editors -- Contributors -- Part I Basics -- Chapter 1 Image-Based Plant Phenotyping: Opportunities and Challenges -- 1.1 Introduction -- 1.2 Importance of Phenotyping Research -- 1.3 Plant Phenotyping Analysis Framework -- 1.4 Plant Phenotyping Networks -- 1.5 Opportunities and Challenges Associated with High-Throughput Image-Based Phenotyping -- 1.6 Image-Based Plant Phenotyping Analysis -- 1.7 Data Management for Plant Phenotyping

1.8 Computational Challenges in Image-Based Plant Phenotyping -- 1.8.1 Computational Resources -- 1.8.2 Algorithm Robustness -- 1.8.3 Inference from Incomplete Information -- 1.8.4 Large Phenotype Search Space -- 1.8.5 Analysis of Image Sequences -- 1.8.6 Lack of Benchmark Datasets -- 1.9 Looking into the Future -- 1.9.1 Imaging Platforms -- 1.9.2 Integrated Phenotypes -- 1.9.3 Learning-Based Approaches -- 1.9.4 Shape Modeling and Simulation for Phenotyping -- 1.9.5 Event-Based Phenotypes -- 1.10 Summary -- References -- Chapter 2 Multisensor Phenotyping for Crop Physiology

2.1 Crop Phenotyping -- 2.1.1 Breeding for Crop Performance and Yield -- …