Low-cost and automated phenotyping system “Phenomenon” for multi-sensor in situ monitoring in plant in vitro culture
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource, 1 online resource.
- Language
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Englisch
- Bibliographic citation
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Low-cost and automated phenotyping system “Phenomenon” for multi-sensor in situ monitoring in plant in vitro culture ; volume:19 ; number:1 ; day:2 ; month:5 ; year:2023 ; pages:1-25 ; date:12.2023
Plant methods ; 19, Heft 1 (2.5.2023), 1-25, 12.2023
- Creator
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s13007-023-01018-w
- URN
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urn:nbn:de:101:1-2023090511152604965641
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:48 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Bethge, Hans
- Winkelmann, Traud
- Lüdeke, Patrick
- Rath, Thomas
- SpringerLink (Online service)
Other Objects (12)
Low-cost and automated phenotyping system “Phenomenon” for multi-sensor in situ monitoring in plant in vitro culture
Low-cost and automated phenotyping system “Phenomenon” for multi-sensor in situ monitoring in plant in vitro culture
Correction: Low-cost and automated phenotyping system “Phenomenon” for multi-sensor in situ monitoring in plant in vitro culture
Correction: Low-cost and automated phenotyping system “Phenomenon” for multi-sensor in situ monitoring in plant in vitro culture
MULTISENSOR EQUIPPED UAV/UGV FOR AUTOMATED EXPLORATION
Towards a multisensor station for automated biodiversity monitoring
Towards a multisensor station for automated biodiversity monitoring
Towards automated phenotyping in plant tissue culture
Multi-Sensor Calibration of Low-Cost Magnetic, Angular Rate and Gravity Systems
The adoption of automated phenotyping by plant breeders
Reliability Analysis of Multi-Sensor Perception Systems of Automated Driving Functions
Automated Diagnosis and Phenotyping of Tuberculosis Using Serum Metabolic Fingerprints
Low-cost and automated phenotyping system “Phenomenon” for multi-sensor in situ monitoring in plant in vitro culture
Low-cost and automated phenotyping system “Phenomenon” for multi-sensor in situ monitoring in plant in vitro culture
Correction: Low-cost and automated phenotyping system “Phenomenon” for multi-sensor in situ monitoring in plant in vitro culture
Correction: Low-cost and automated phenotyping system “Phenomenon” for multi-sensor in situ monitoring in plant in vitro culture
MULTISENSOR EQUIPPED UAV/UGV FOR AUTOMATED EXPLORATION
Towards a multisensor station for automated biodiversity monitoring
Towards a multisensor station for automated biodiversity monitoring
Towards automated phenotyping in plant tissue culture
Multi-Sensor Calibration of Low-Cost Magnetic, Angular Rate and Gravity Systems
The adoption of automated phenotyping by plant breeders
Reliability Analysis of Multi-Sensor Perception Systems of Automated Driving Functions
Automated Diagnosis and Phenotyping of Tuberculosis Using Serum Metabolic Fingerprints
Low-cost and automated phenotyping system “Phenomenon” for multi-sensor in situ monitoring in plant in vitro culture
Low-cost and automated phenotyping system “Phenomenon” for multi-sensor in situ monitoring in plant in vitro culture
Correction: Low-cost and automated phenotyping system “Phenomenon” for multi-sensor in situ monitoring in plant in vitro culture
Correction: Low-cost and automated phenotyping system “Phenomenon” for multi-sensor in situ monitoring in plant in vitro culture
MULTISENSOR EQUIPPED UAV/UGV FOR AUTOMATED EXPLORATION
Towards a multisensor station for automated biodiversity monitoring
Towards a multisensor station for automated biodiversity monitoring
Towards automated phenotyping in plant tissue culture
Multi-Sensor Calibration of Low-Cost Magnetic, Angular Rate and Gravity Systems
The adoption of automated phenotyping by plant breeders
Reliability Analysis of Multi-Sensor Perception Systems of Automated Driving Functions