Review: New sensors and data-driven approaches-A path to next generation phenomics
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F19%3A00504649" target="_blank" >RIV/86652079:_____/19:00504649 - isvavai.cz</a>
Result on the web
<a href="https://reader.elsevier.com/reader/sd/pii/S0168945217310506?token=07A3C5A4CA0F699648A0829D41D783A734A3A2FC3F1EB7053CFBE56A3DB5B8012A861AD5E92FAE7470CB09ABEC3A4D83" target="_blank" >https://reader.elsevier.com/reader/sd/pii/S0168945217310506?token=07A3C5A4CA0F699648A0829D41D783A734A3A2FC3F1EB7053CFBE56A3DB5B8012A861AD5E92FAE7470CB09ABEC3A4D83</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.plantsci.2019.01.011" target="_blank" >10.1016/j.plantsci.2019.01.011</a>
Alternative languages
Result language
angličtina
Original language name
Review: New sensors and data-driven approaches-A path to next generation phenomics
Original language description
At the 4th International Plant Phenotyping Symposium meeting of the International Plant Phenotyping Network (IPPN) in 2016 at CIMMYT in Mexico, a workshop was convened to consider ways forward with sensors for phenotyping. The increasing number of field applications provides new challenges and requires specialised solutions. There are many traits vital to plant growth and development that demand phenotyping approaches that are still at early stages of development or elude current capabilities. Further, there is growing interest in low-cost sensor solutions, and mobile platforms that can be transported to the experiments, rather than the experiment coming to the platform. Various types of sensors are required to address diverse needs with respect to targets, precision and ease of operation and readout. Converting data into knowledge, and ensuring that those data (and the appropriate metadata) are stored in such a way that they will be sensible and available to others now and for future analysis is also vital. Here we are proposing mechanisms for “next generation phenomics“ based on our learning in the past decade, current practice and discussions at the IPPN Symposium, to encourage further thinking and collaboration by plant scientists, physicists and engineering experts.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10611 - Plant sciences, botany
Result continuities
Project
<a href="/en/project/LO1415" target="_blank" >LO1415: CzechGlobe 2020 – Development of the Centre of Global Climate Change Impacts Studies</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Plant Science
ISSN
0032-0919
e-ISSN
—
Volume of the periodical
282
Issue of the periodical within the volume
may
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
9
Pages from-to
2-10
UT code for WoS article
000466829900002
EID of the result in the Scopus database
2-s2.0-85060531206