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Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping V最新文献

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Front Matter: Volume 11414 封面:第11414卷
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引用次数: 0
In-field high-throughput phenotyping approach using a multi-view and multi-sensor ground-based vehicle (Conference Presentation) 使用多视角和多传感器地面车辆的现场高通量表型分析方法(会议报告)
Vivian Vuong, D. Slaughter, Clarice Roo, D. A. Clair, Bryce A. Kubond, P. Bosland
By the year 2050 the world population will increase to 9.7 billion people. Food production must increase by at least 70% in order to feed this population. One way to increase food production is to create crop cultivars that can produce high quality and high yielding crops without needing to increase the amount of resources required. Plant breeders are able to create new crop cultivars using high-throughput genotyping techniques, however the current bottleneck in plant breeding is in-field phenotyping. This study focuses on designing a high-throughput in-field proximal phenotyping system capable of collecting non-contact, high-resolution, multi-sensor, multi-view, phenomic data of vegetable plants.
到2050年世界人口将增加到97亿人。粮食产量必须至少增加70%才能养活这些人口。增加粮食产量的一种方法是创造出能够生产高质量和高产量作物的作物品种,而不需要增加所需资源的数量。植物育种家能够利用高通量基因分型技术创造新的作物品种,然而目前植物育种的瓶颈是田间表型。本研究旨在设计一种能够采集非接触、高分辨率、多传感器、多视角的蔬菜植物表型数据的高通量田间近端表型系统。
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引用次数: 1
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Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping V
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