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Machine learning in determination of water saturation deficit in wheat leaves on basis of Chl a fluorescence parameters
Water saturation deficit (WSD) is a parameter commonly used for detection of plant tolerance to temporary water shortages. However, this parameter does not meet criteria set for screening. On the other hand, measurement of chlorophyll (Chl) a fluorescence is a fast and high-throughput method. This work presents the application of learning systems to set up a model between WSD and Chl a fluorescenc…
Creator
- Rybka, K
- Janaszek-Mańkowska, M
- Siedlarz, P
- Mańkowski, D
Subject
- umělá inteligence
- fotosyntéza
- pšenice obecná
- artificial intelligence
- photosynthesis
- common wheat
- drought
- Triticum aestivum
- 2
- 581
- …
Type of item
- model:article
Creator
- Rybka, K
- Janaszek-Mańkowska, M
- Siedlarz, P
- Mańkowski, D
Subject
- umělá inteligence
- fotosyntéza
- pšenice obecná
- artificial intelligence
- photosynthesis
- common wheat
- drought
- Triticum aestivum
- 2
- 581
- …
Type of item
- model:article
Providing institution
Aggregator
Rights statement for the media in this item (unless otherwise specified)
- http://creativecommons.org/licenses/by-nc-sa/4.0/
Rights
- policy:public
Place-Time
- 226-230
Source
- Photosynthetica | 2019 Volume:57 | Number:1
Identifier
- https://cdk.lib.cas.cz/client/handle/uuid:201ab419-64ed-4308-84fb-08321a8c1385
- uuid:201ab419-64ed-4308-84fb-08321a8c1385
- issn:0300-3604
- doi:10.32615/ps.2019.017
- uuid:201ab419-64ed-4308-84fb-08321a8c1385
Format
- počítač
- online zdroj
Language
- mul
- mul
Providing country
- Czech Republic
Collection name
First time published on Europeana
- 2021-12-25T05:07:51.358Z
Last time updated from providing institution
- 2022-05-11T20:53:07.522Z