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Titlebook: High-Throughput Crop Phenotyping; Jianfeng Zhou,Henry T. Nguyen Book 2021 Springer Nature Switzerland AG 2021 crop phenotypes.quantitative

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發(fā)表于 2025-3-21 18:10:49 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)High-Throughput Crop Phenotyping
編輯Jianfeng Zhou,Henry T. Nguyen
視頻videohttp://file.papertrans.cn/427/426798/426798.mp4
概述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
叢書(shū)名稱(chēng)Concepts and Strategies in Plant Sciences
圖書(shū)封面Titlebook: High-Throughput Crop Phenotyping;  Jianfeng Zhou,Henry T. Nguyen Book 2021 Springer Nature Switzerland AG 2021 crop phenotypes.quantitative
描述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
出版日期Book 2021
關(guān)鍵詞crop phenotypes; quantitative analyses of plant traits; automated data collection; robotic systems in p
版次1
doihttps://doi.org/10.1007/978-3-030-73734-4
isbn_softcover978-3-030-73736-8
isbn_ebook978-3-030-73734-4Series ISSN 2662-3188 Series E-ISSN 2662-3196
issn_series 2662-3188
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

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,Solve the Breeder’s Equation Using High-Throughput Crop Phenotyping Technology,improvement. The roles of different components in the crop production equation (.) toward crop yield, i.e., crop yield (.) is a function of crop genotype (.), environment (.) and management (.) is discussed. It is concluded that all components have a great impact on the agriculture yield. Studies su
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Cable Suspended Large-Scale Field Phenotyping Facility for High-Throughput Phenotyping Research,ing the phenotyping efficiency for plant breeding. To the best of our knowledge, field HTP systems, which have been widely integrated into breeding research, have not been reported yet. In this chapter, we started explaining why researchers are doing this research and briefly introduced the state of
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Experiences of Applying Field-Based High-Throughput Phenotyping for Wheat Breeding,measuring breeding trials. In this chapter, we examine different types of phenotyping platforms, data management, and data utilization for decision making using HTP in plant breeding, with case studies from wheat breeding programs. Development of HTP platforms, both ground-based and aerial vehicles
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High-Throughput Phenotyping (HTP) and Genetic Analysis Technologies Reveal the Genetic Architecturen sequencing technologies, the traditional measurement of crop traits is still labor intensive and inefficient. To address this issue, several phenotyping platforms and freely available phenotyping techniques have been developed in recent years. In this chapter, we discuss phenotyping research for i
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High-Throughput Phenotyping in Soybean,g populations for a multitude of traits, for example, morphological, physiological, abiotic and biotic stress, plant organs, and seed composition. Most of these trait evaluations require experienced raters to spend countless hours, recording phenotypes for each genotype in different filial generatio
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