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This book demonstrates a comprehensive understanding of plant high-throughput phenotyping and functional phenomics; emphasizing the significance of automated machinery, robotics, remote sensing, and computational tools, including artificial intelligence and machine learning.
List of contents
Bioinformatics Tools and Deep Learning for Plant High-Throughput Phenotyping and Phenomics. Plant High-Throughput Phenotyping and Phenomics for Accelerating Crop Breeding. Remote Sensing Technologies for High-Throughput In-field Crop Phenotyping. High Throughput Field Phenotyping (HTFP): Enhancing Crop Monitoring for Food Security. Imaging Techniques for High-Throughput Phenotyping: Methods and Applications. High-Throughput Phenotyping for Plant Metabolomics: Methods and Applications with a Special Focus on Chemical Ecology. High-Throughput Phenotyping: An Effective Tool for Plant Breeders to Dissect Crop Responses to Abiotic Stresses. Genetic Dissection of Major Crops by High-Throughput Phenotyping and Phenomics. High-Throughput Phenotyping and Phenomics for Exploration of Plant Growth and Development. Root Phenotyping for Breeding of Climate-Resilient Crops. High-Throughput Plant Phenotyping Platforms for Cereal Crop Breeding to Improve Abiotic Stress Tolerance. High-Throughput Phenotyping and Phenomics for Climate-Smart Crop Breeding. High-Throughput Plant Phenotyping and Phenomics: Advances and Prospects. Technical Advancements in Plant High-Throughput Phenotyping and Phenomics: An Overview. Statistical Tools and Data Analysis for Organizing Plant High-Throughput Phenomics. Robotics and Aerial Vehicle for High-Throughput Phenotyping: Technologies and Prospects. Technical advancements in plant metabolic phenotyping based on high-throughput and high-resolution analytical platforms. High-Throughput Metabolomics for Agricultural Research. Dissecting Plant-Pathogen Interactions by High-Throughput Metabolomics for Developing Biotic Stress-Resilient Crops. Applied Metabolomics for Plant Disease Management.
About the author
Dr. Jen¿Tsung Chen is a professor of cell biology at the National University of Kaohsiung in Taiwan. He also teaches genomics, proteomics, plant physiology, and plant biotechnology. His research interests include bioactive compounds, chromatography techniques, plant molecular biology, plant biotechnology, bioinformatics, and systems pharmacology. He is an active editor of academic books and journals to advance the exploration of multidisciplinary knowledge involving plant physiology, plant biotechnology, nanotechnology, ethnopharmacology, systems biology, and drug discovery. He serves as an editorial board member and a guest editor in several reputed journals. He published books in collaboration with international publishers on diverse topics such as drug discovery, herbal medicine, medicinal biotechnology, nanotechnology, bioengineering, plant functional genomics, plant speed breeding, CRISPR¿based plant genome editing, and artificial intelligence. In 2023 and 2024, Stanford University/Elsevier included Dr. Chen in the "World's Top 2% Scientists".
