Download or read book High Throughput Crop Phenotyping written by Jianfeng Zhou and published by Springer Nature. This book was released on 2021-07-17 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Big Data Analytics in High throughput Phenotyping written by Chaney Lee Courtney and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: As the global population rises, advancements in plant diversity and crop yield is necessary for resource stability and nutritional security. In the next thirty years, the global population will pass 9 billion. Genetic advancements have become inexpensive and widely available to address this issue; however, phenotypic acquisition development has stagnated. Plant breeding programs have begun to support efforts in data mining, computer vision, and graphics to alleviate the gap from genetic advancements. This dissertation creates a bridge between computer vision research and phenotyping by designing and analyzing various deep neural networks for concrete applications while presenting new and novel approaches. The significant contributions are research advancements to the current state-of-the-art in mobile high-throughput phenotyping (HTP), which promotes more efficient plant science workflow tasks. Novel tools and utilities created for automatic code generation, maintenance, and source translation are featured. Promoted tools replace boiler-plate segments and redundant tasks. Finally, this research investigates various state-of-the-art deep neural network architectures to derive methods for object identification and enumeration. Seed kernel counting is a crucial task in the plant research workflow. This dissertation explains techniques and tools for generating data to scale training. New dataset creation methodologies are debuted and aim to replace the classical approach to labeling data. Although HTP is a general topic, this research focuses on various grains and plant-seed phenotypes. Applying deep neural networks to seed kernels for classification and object detection is a relatively new topic. This research uses a novel open-source dataset that supports future architectures for detecting kernels. State-of-the-art pre-trained regional convolutional neural networks (RCNN) perform poorly on seeds. The proposed counting architectures outperform the models above by focusing on learning a labeled integer count rather than anchor points for localization. Concurrently, pre-trained models on the seed dataset, a composition of geometrically primitive-like objects, boasts improvements to evaluation metrics in comparison to the Common Object in Context (COCO) dataset. A widely accepted problem in image processing is the segmentation of foreground objects from the background. This dissertation shows that state-of-the-art regional convolutional neural networks (RCNN) perform poorly in cases where foreground objects are similar to the background. Instead, transfer learning leverages salient features and boosts performance on noisy background datasets. The accumulation of new ideas and evidence of growth for mobile computer vision surmise a bright future for data-acquisition in various fields of HTP. The results obtained provide horizons and a solid foundation for future research to stabilize and continue the growth of phenotypic acquisition and crop yield.

Download or read book High Throughput Phenotyping in the Genomic Improvement of Livestock written by Fabyano Fonseca Silva and published by Frontiers Media SA. This book was released on 2021-08-03 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book High Throughput Field Phenotyping to Advance Precision Agriculture and Enhance Genetic Gain Volume II written by Andreas Hund and published by Frontiers Media SA. This book was released on 2024-03-01 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Research Topic is part of the High-Throughput Field Phenotyping to Advance Precision Agriculture and Enhance Genetic Gain series. The discipline of “High Throughput Field Phenotyping” (HTFP) has gained momentum in the last decade. HTFP includes a wide range of disciplines such as plant science, agronomy, remote sensing, and genetics; as well as biochemistry, imaging, computation, agricultural engineering, and robotics. High throughput technologies have substantially increased our ability to monitor and quantify field experiments and breeding nurseries at multiple scales. HTFP technology can not only rapidly and cost-effectively replace tedious and subjective ratings in the field, but can also unlock the potential of new, latent phenotypes representing underlying biological function. These advances have also provided the ability to follow crop growth and development across seasons at high and previously inaccessible spatial and temporal resolutions. By combining these data with measurements of all environmental factors affecting plant growth and yield (“Envirotyping”), genotypic-specific reaction norms and phenotypic plasticity may be elucidated.

Download or read book High Throughput Plant Phenotyping written by Argelia Lorence and published by Springer Nature. This book was released on 2022-07-27 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume looks at a collection of the latest techniques used to quantify the genome-by-environment-by-management (GxExM) interactions in a variety of model and plant crops. The chapters in this book are organized into five parts. Part One discusses high-throughput plant phenotyping (HTPP) protocols for plants growing under controlled conditions. Part Two present novel algorithms for extracting data from seed images, color analysis from fruits, and other digital readouts from 2D objects. Part Three covers molecular imaging protocols using PET and X-ray approaches, and Part Four presents a collection of HTPP techniques for crops growing under field conditions. The last part focuses on molecular analysis, metabolomics, network analysis, and statistical methods for the quantitative genetic analysis of HTP data. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and practical, High-Throughput Plant Phenotyping: Review and Protocols is a valuable resource for both novice and expert researchers looking to learn more about this important field. Chapter 21 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Download or read book Big Data Analytics written by Arun K. Somani and published by CRC Press. This book was released on 2017-10-30 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proposed book will discuss various aspects of big data Analytics. It will deliberate upon the tools, technology, applications, use cases and research directions in the field. Chapters would be contributed by researchers, scientist and practitioners from various reputed universities and organizations for the benefit of readers.

Download or read book Advances in Agronomy written by and published by Academic Press. This book was released on 2020-05-15 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Agronomy, Volume 162, continues to be recognized as a leading reference and first-rate source for the latest research in agronomy. Each volume contains an eclectic group of reviews by leading scientists throughout the world. As always, the subjects covered are rich, varied and exemplary of the abundant subject matter addressed by this long-running serial. Includes numerous, timely, state-of-the-art reviews on the latest advancements in agronomy Features distinguished, well recognized authors from around the world Builds upon this venerable and iconic review series Covers the extensive variety and breadth of subject matter in the crop and soil sciences

Download or read book High Throughput Phenotyping for Crop Improvement and Breeding written by Ankush Prashar and published by Frontiers Media SA. This book was released on 2022-02-04 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Phenomics written by Roberto Fritsche-Neto and published by Springer. This book was released on 2015-01-13 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book represents a pioneer initiative to describe the new technologies available for next-generation phenotyping and applied to plant breeding. Over the last several years plant breeding has experienced a true revolution. Phenomics, i.e., high-throughput phenotyping using automation, robotics and remote data collection, is changing the way cultivars are developed. Written in an easy to understand style, this book offers an indispensable reference work for all students, instructors and scientists who are interested in the latest innovative technologies applied to plant breeding.

Download or read book Big Data for the Greater Good written by Ali Emrouznejad and published by Springer. This book was released on 2018-07-13 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights some of the most fascinating current uses, thought-provoking changes, and biggest challenges that Big Data means for our society. The explosive growth of data and advances in Big Data analytics have created a new frontier for innovation, competition, productivity, and well-being in almost every sector of our society, as well as a source of immense economic and societal value. From the derivation of customer feedback-based insights to fraud detection and preserving privacy; better medical treatments; agriculture and food management; and establishing low-voltage networks – many innovations for the greater good can stem from Big Data. Given the insights it provides, this book will be of interest to both researchers in the field of Big Data, and practitioners from various fields who intend to apply Big Data technologies to improve their strategic and operational decision-making processes.

Download or read book High Throughput Phenotyping in Plants written by Jennifer Normanly and published by Humana Press. This book was released on 2017-04-30 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Advances in Seed Production and Management written by Ajay Kumar Tiwari and published by Springer Nature. This book was released on 2021-02-26 with total page 623 pages. Available in PDF, EPUB and Kindle. Book excerpt: High-quality seed is essential for healthy crops and greater agricultural productivity. At the same time, advances in breeding technology require equivalent advances in seed technology. In order to ensure food security, it is crucial to develop seeds that are high yielding, and resistant to drought, heat, cold, and insects. Gathering the latest research in seed sciences, the book includes contributions on seed production in crops such as legumes, sugar, rice, wheat and other cereals. It discusses a range of topics, like the effect of climate change on seed quality, production and storage; seed rouging; seed certification for different crop species; seed biology; and seed pathologies and their effective management. Integrating basic and applied research, this compendium provides valuable insights for researchers and students in agricultural and life sciences; professionals involved in seed certification and those working in quarantine laboratories; as well as plant pathologists.

Download or read book High Performance Computing and Big Data Analysis written by Lucio Grandinetti and published by Springer Nature. This book was released on 2019-10-19 with total page 514 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes revised and selected papers from the Second International Congress on High-Performance Computing and Big Data Analysis, TopHPC 2019, held in Tehran, Iran, in April 2019. The 37 full papers and 2 short papers presented in this volume were carefully reviewed and selected from a total of 103 submissions. The papers in the volume are organized acording to the following topical headings: deep learning; big data analytics; Internet of Things.- data mining, neural network and genetic algorithms; performance issuesand quantum computing.

Download or read book Botany Paper 1 Cytogenetics Plant Breeding Nanotechnology written by Dr. MP Singh and published by Thakur Publication Private Limited. This book was released on 2024-04-01 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: Buy Latest Botany ( Paper 1 ) Cytogenetics, Plant Breeding & Nanotechnology e-Book for B.Sc 6th Semester UP State Universities By Thakur publication.

Download or read book Animal Breeding and Genetics written by Matthew L. Spangler and published by Springer Nature. This book was released on 2022-11-01 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: This newly updated and revised volume of the Encyclopedia of Sustainability Science and Technology (ESST) details the role of Animal Breeding and Genetics in the sustainability of animal agriculture. The volume covers scientific principles and applications includes the current science used to advance cattle, poultry, swine,sheep, and equine populations, as well as the future role of techniques such as gene editing. International leaders in the field explain foundational concepts such as heritability, the covariance between relatives, statistical approaches to predicting the genetic merit of individuals, and the development and advancement of molecular techniques to elucidate changes in the DNA sequence that underly phenotypic variation. The use of genetic-based tools to improve animal agriculture and meet consumer demands across species is treated in detail. Readers will gain an understanding of how global livestock producers have implemented advanced genetic selection tools and used them to improve reproduction, production, efficiency, health, and sustainability. The interactions of genetics and production environments, and the genetic components of the complex interactions among animals are also discussed. The future of Animal Breeding and Genetics, including the challenges and opportunities that exist in feeding a growing world population, are addressed.

Download or read book Intelligent Image Analysis for Plant Phenotyping written by Ashok Samal and published by CRC Press. This book was released on 2020-10-21 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book ITSPWC 2022 written by S. Kannadhasan and published by European Alliance for Innovation. This book was released on 2022-08-04 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: We are delighted to introduce the proceedings of the first edition of the 2022 International Conference on Intelligent Technologies in Security and Privacy for Wireless Communication (ITSPWC 2022). This conference has brought researchers, developers and practitioners around the world who are leveraging and developing the Wireless Communication. The theme of ITSPWC 2022 was “Security and Challenges for Wireless Communication and Power Energy”. The technical program of ITSPWC 2022 consisted of 33 full papers, including 5 invited papers in oral presentation sessions at the main conference tracks. The conference tracks were: Track 1 – Recent Trends in IoT; Track 2 – Recent Trends in Smart Energy Systems and Transmission; Track 3 – Recent Trends in Embedded Systems; and Track 4 – Recent Trends in Communication Systems. Aside from the high quality technical paper presentations, the technical program also featured one invited talk and two technical workshops. The invited talk was presented by Prof. Kaushik Pal from Universidade Federal do Rio de Janeiro, Brazil. The ITSPWC workshop aimed to gain insights into key challenges, understanding and design criteria of employing wireless technologies to develop and implement future related services and applications. It was a great pleasure to work with such an excellent organizing committee team for their hard work in organizing and supporting the conference. In particular, the Technical Program Committee, led by our Co-Chairs, Dr.R.Nagarajan, Dr.George Ghinea, Dr.Alagar Karthick, Dr.Bassim Alhadidi and Prof. Kanagaraj Venusamy who have completed the peer-review process of technical papers and made a high-quality technical program. We are also grateful to all the authors who submitted their papers to the ITSPWC 2022 conference and workshops. We strongly believe that ITSPWC conference provides a good forum for all researcher, developers and practitioners to discuss all science and technology aspects that are relevant to Security and Privacy in Wireless Communication. We also expect that the future Wireless Communication conference will be as successful and stimulating, as indicated by the contributions presented in this volume. Dr.S.Kannadhasan