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PhenomUK - Crop Phenotyping: from Sensors to Knowledge

PhenomUK - Crop Phenotyping: from Sensors to Knowledge
PhenomUK - 作物表型分析:从传感器到知识
批准号:
MR/R025746/1
负责人:
Tony Pridmore
金额:
$67.35万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2018
资助国家:
英国
项目状态:
已结题
起止时间:
2018 至 --

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中文摘要
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英文摘要
Major improvements in crop performance are needed to keep pace with population growth, which is driving up global food demand, and climate change, which is increasing the vulnerability of cropping systems to extreme weather events in the UK and internationally. Whilst plant breeding efforts have greatly benefited from advances in genomics, profiling the crop phenome (i.e. the structure and function of plants) associated with their genetic structure and environment remains a major bottleneck. Solutions will be multidisciplinary, requiring engineering and computer science as well as plant biology. Sensors are required that can measure of a diverse range of properties of complex, deformable, living and growing objects - plants - often in quite hostile environments. Structural and functional plant traits capturing key properties of roots, shoots, flowers, seeds, etc. must be recovered from those measures effectively and efficiently. Most data capture is image-based, requiring advanced computer vision techniques. Trait data are then used to provide understanding of e.g. plants' growth rates, flowering times, seed production and yield, using advanced data analysis and machine learning methods.PhenomUK's vision is of an integrated, mutually-informed community of computer scientists, engineers and biologists, working together across discipline boundaries to shape the technologies needed to address one of the global challenges of the 21st century - the provision of a secure food supply to a growing population against a background of resource depletion and climate change. Through series of Annual Conferences, workshops, networking visits, online training events and pump-priming research projects, this multidisciplinary network project will:1. ensure that UK scientists have access to the innovative technological capabilities needed to drive world-leading basic discovery research in the plant, crop and agricultural sciences2. provide the deeper understanding of national plant phenotyping capabilities, needs and opportunities required to allow the UK to participate fully in and gain maximum benefit from international initiatives such as the pan-European infrastructure being created by the ESFRI EMPHASIS project (https://emphasis.plant-phenotyping.eu).
期刊论文(5)
专著(0)
科研奖励(0)
会议论文
DOI: 10.12688/f1000research.52204.2
发表时间: 2021
期刊: F1000Research
影响因子: --
作者: []
通讯作者:
How can computers help grow crops better
计算机如何帮助农作物更好地生长
DOI: --
发表时间: 2021
期刊:
影响因子: --
作者: [Futurum]
通讯作者: Futurum
DOI: 10.1038/s41467-022-31150-5
发表时间: 2022-06-21
期刊: NATURE COMMUNICATIONS
影响因子: 16.6
作者: [Guenat, Solene, Purnell, Phil, Davies, Zoe G., Nawrath, Maximilian, Stringer, Lindsay C., Babu, Giridhara Rathnaiah, Balasubramanian, Muniyandi, Ballantyne, Erica E. F., Bylappa, Bhuvana Kolar, Chen, Bei, De Jager, Peta, Del Prete, Andrea, Di Nuovo, Alessandro, Ehi-Eromosele, Cyril O., Eskandari Torbaghan, Mehran, Evans, Karl L., Fraundorfer, Markus, Haouas, Wissem, Izunobi, Josephat U., Jauregui-Correa, Juan Carlos, Kaddouh, Bilal Y., Lewycka, Sonia, MacIntosh, Ana C., Mady, Christine, Maple, Carsten, Mhiret, Worku N., Mohammed-Amin, Rozhen Kamal, Olawole, Olukunle Charles, Oluseyi, Temilola, Orfila, Caroline, Ossola, Alessandro, Pfeifer, Marion, Pridmore, Tony, Rijal, Moti L., Rega-Brodsky, Christine C., Robertson, Ian D., Rogers, Christopher D. F., Rouge, Charles, Rumaney, Maryam B., Seeletso, Mmabaledi K., Shaqura, Mohammed Z., Suresh, L. M., Sweeting, Martin N., Taylor Buck, Nick, Ukwuru, M. U., Verbeek, Thomas, Voss, Hinrich, Wadud, Zia, Wang, Xinjun, Winn, Neil, Dallimer, Martin]
通讯作者: Dallimer, Martin
TTL Networks e-Event 2021 Report
TTL Networks 2021 年电子活动报告
DOI: --
发表时间: 2021
期刊:
影响因子: --
作者: [Hayes, C]
通讯作者: Hayes, C
PhenomUKRI The UK Plant and Crop Phenotyping Infrastructure
  • 批准号:
    BB/Y512333/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $303.26万
  • 财政年份:
    2023
  • 负责人:
    Tony Pridmore
  • 依托单位:
High throughput phenotyping of novel root traits for early stage root bulking in cassava using an Aeroponic imaging platform
  • 批准号:
    BB/P022790/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $40.72万
  • 财政年份:
    2017
  • 负责人:
    Tony Pridmore
  • 依托单位:
International Workshop on Image Analysis Methods for Plant Sciences
  • 批准号:
    BB/J020451/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $1.13万
  • 财政年份:
    2012
  • 负责人:
    Tony Pridmore
  • 依托单位:
国内基金
海外基金
基于ANDSystem与多组学的水稻和小麦胁迫响应分子调控网络及智能作物平台(Smart Crop)的构建
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    105万元
  • 批准年份:
    2022
  • 负责人:
    陈铭
  • 依托单位: