Editors:
- Explains how high-throughput phenotyping helps to breed plants that can adapt to low-input agriculture and resource-limited environments
- Describes various applications in the field
- Covers a wide range of crops
Part of the book series: Concepts and Strategies in Plant Sciences (CSPS)
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Table of contents (11 chapters)
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Front Matter
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Back Matter
About this book
It includes the state of the art of technologies in high-throughput phenotyping, including advanced sensors, automation systems, ground-based or aerial robotic systems. It also discusses the emerging technologies of big data processing and analytics, such as advanced machine learning and deep learning technologies based on high-performance computing infrastructure. The applications cover different organ levels (root, shoot and seed) of different crops (grains, soybean, maize, potato) at different growth environments (open field and controlled environments). With the contribution of more than 20 world-leading researchers in high-throughput crop phenotyping, the authors hope this book provides readers the needed information to understand the concept, gain the insides and create the innovation of high-throughput phenotyping technology.
Editors and Affiliations
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University of Missouri, Columbia, USA
Jianfeng Zhou, Henry T. Nguyen
Bibliographic Information
Book Title: High-Throughput Crop Phenotyping
Editors: Jianfeng Zhou, Henry T. Nguyen
Series Title: Concepts and Strategies in Plant Sciences
DOI: https://doi.org/10.1007/978-3-030-73734-4
Publisher: Springer Cham
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-73733-7Published: 18 July 2021
Softcover ISBN: 978-3-030-73736-8Published: 19 July 2022
eBook ISBN: 978-3-030-73734-4Published: 17 July 2021
Series ISSN: 2662-3188
Series E-ISSN: 2662-3196
Edition Number: 1
Number of Pages: XVII, 249
Number of Illustrations: 6 b/w illustrations, 59 illustrations in colour
Topics: Plant Breeding/Biotechnology, Agriculture, Bioinformatics, Computer Appl. in Life Sciences, Biological Techniques, Plant Genetics and Genomics