High-Throughput Crop Phenotyping
High-Throughput Crop Phenotyping

Author: Jianfeng Zhou

Publisher: Springer Nature

Published: 2021-07-17

Total Pages: 249

ISBN-13: 3030737349

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This book provides an overview of the innovations in crop phenotyping using emerging technologies, i.e., high-throughput crop phenotyping technology, including its concept, importance, breakthrough and applications in different crops and environments. Emerging technologies in sensing, machine vision and high-performance computing are changing the world beyond our imagination. They are also becoming the most powerful driver of the innovation in agriculture technology, including crop breeding, genetics and management. 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.

High-Throughput Phenotyping in Plants
High-Throughput Phenotyping in Plants

Author: Jennifer Normanly

Publisher: Humana Press

Published: 2017-04-30

Total Pages: 365

ISBN-13: 9781493959457

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Genetic approaches to understanding plant growth and development have always benefitted from screens that are simple, quantitative and rapid. Visual screens and morphometric analysis have yielded a plethora of interesting mutants and traits that have provided insight into complex regulatory pathways, and yet many genes within any given plant genome remain undefined. The premise underlying High Throughput Phenotyping in Plants: Methods and Protocols is that the higher the resolution of the phenotype analysis the more likely that new genes and complex interactions will be revealed. The methods described in this volume can be generally classified as quantitative profiling of cellular components, ranging from ions to small molecule metabolites and nuclear DNA, or image capture that ranges in resolution from chlorophyll fluorescence from leaves and time-lapse images of seedling shoots and roots to individual plants within a population at a field site. Written in the successful Methods in Molecular BiologyTM series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible protocols, and notes on troubleshooting and avoiding known pitfalls. Authoritative and easily accessible, High Throughput Phenotyping in Plants: Methods and Protocols serves as an invaluable guide to plant researchers and all scientists who wish to better understand plant growth and development.

Phenotyping for Plant Breeding
Phenotyping for Plant Breeding

Author: Siva Kumar Panguluri

Publisher: Springer Science & Business Media

Published: 2013-10-09

Total Pages: 220

ISBN-13: 1461483204

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Plant phenotyping is the thorough assessment of plant traits such as growth, development, adaptation, yield, quality, tolerance, resistance, architecture, and the basic measurement of individual quantitative parameters that form the basis for understanding of traits. Genetic approaches to understand plant growth and development have always benefitted from phenotyping techniques that are simple, rapid and measurable in units. The forward genetics approach is all about understanding the trait inheritance using the phenotypic data and in most cases it is the mutant phenotypes that formed the basis for understanding of gene functions. With rapid advancement of genotyping techniques, high throughput genotyping has become a reality at costs people never imagined to be that low, but the phenotypic methods did not receive same attention. However, without quality phenotyping data the genotyping data cannot be effectively put to use in plant improvement. Therefore efforts are underway to develop high-throughput phenotyping methods in plants to keep pace with revolutionary advancement in genotyping techniques to enhance the efficiency of crop improvement programs. Keeping this in mind, we described in this book the best phenomic tools available for trait improvement in some of the world’s most important crop plants.

Plant Image Analysis
Plant Image Analysis

Author: S Dutta Gupta

Publisher: CRC Press

Published: 2014-09-17

Total Pages: 398

ISBN-13: 1466583029

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The application of imaging techniques in plant and agricultural sciences had previously been confined to images obtained through remote sensing techniques. Technological advancements now allow image analysis for the nondestructive and objective evaluation of biological objects. This has opened a new window in the field of plant science. Plant Image

Phenomics in Crop Plants: Trends, Options and Limitations
Phenomics in Crop Plants: Trends, Options and Limitations

Author: Jitendra Kumar

Publisher: Springer

Published: 2015-03-05

Total Pages: 422

ISBN-13: 8132222261

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Identification of desirable genotypes with traits of interest is discernible for making genetic improvement of crop plants. In this direction, screening of a large number of germplasm for desirable traits and transfer of identified traits into agronomic backgrounds through recombination breeding is the common breeding approach. Although visual screening is easier for qualitative traits, its use is not much effective for quantitative traits and also for those, which are difficult to score visually. Therefore, it is imperative to phenotype the germplasm accessions and breeding materials precisely using high throughput phenomics tools for challenging and complex traits under natural, controlled and harsh environmental conditions. Realizing the importance of phenotyping data towards identification and utilization of a germplasm as donors, global scientific community has exerted increased focus on advancing phenomics in crop plants leading to development of a number of techniques and methodologies for screening of agronomic, physiological, and biochemical traits. These technologies have now become much advanced and entered the era of digital science. This book provides exhaustive information on various aspects related to phenotyping of crop plants and offers a most comprehensive reference on the developments made in traditional and high throughput phenotyping of agricultural crops.

Intelligent Image Analysis for Plant Phenotyping
Intelligent Image Analysis for Plant Phenotyping

Author: Ashok Samal

Publisher: CRC Press

Published: 2020-10-21

Total Pages: 347

ISBN-13: 1351709992

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Domesticated crops are the result of artificial selection for particular phenotypes or, in some cases, natural selection for an adaptive trait. Plant traits can be identified through image-based plant phenotyping, a process that was, until recently, strenous and time-consuming. 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 by which to define and collect plant phenotypes. Beautifully illustrated, with numerous color images, the book focuses on phenotypes measured from individual plants under controlled experimental conditions, which are widely available in high-throughput systems. Features: Presents methodologies for image processing, including data-driven and machine learning techniques for plant phenotyping. Features information on advanced techniques for extracting phenotypes through images and image sequences captured in a variety of modalities. Includes real-world scientific problems, including predicting yield by modeling interactions between plant data and environmental information. Discusses the challenge of translating images into biologically informative quantitative phenotypes. A practical resource for students, researchers, and practitioners, this book is invaluable for those working in the emerging fields at the intersection of computer vision and plant sciences.

Rice Functional Genomics
Rice Functional Genomics

Author: Narayana M. Upadhyaya

Publisher: Springer

Published: 2010-10-29

Total Pages: 0

ISBN-13: 9781441923752

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Rice has been chosen as a model cereal for functional genomics because of its well understood genetics. In addition, there is great similarities among all the cereals and grasses: any understanding of rice genes is directly applicable to the genes of other cereals. This book details rice functional genomics. It takes a multi-pronged genome-wide approach using structural similarities, expression profiles, and mutant phenotypes. Coverage includes the current status of genome sequencing and annotation, various tools, and resources being developed worldwide.

Image Processing, Computer Vision, and Pattern Recognition
Image Processing, Computer Vision, and Pattern Recognition

Author: Hamid R. Arabnia

Publisher: 2019 Worldcomp Internation

Published: 2020-03-13

Total Pages: 0

ISBN-13: 9781601325068

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Proceedings of the 2019 International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV'19) held July 29th - August 1st, 2019 in Las Vegas, Nevada.