University of Natural Resources and Life Sciences, Vienna (BOKU) - Research portal
Mobile Field Phenotyping for Agronomy and Breeding
- Project Leader
- Rischbeck Pablo, Project Leader
- Duration:
- 01.08.2021-31.07.2024
- Programme:
- F&E-Infrastrukturförderung
- Type of Research
- Applied Research
- Staff
- Bürstmayr Hermann, Sub Projectleader
- Kaul Hans-Peter, Sub Projectleader
- Forneck Astrid, Sub Projectleader
- Vollmann Johann, Project Staff
- Griesser Michaela, Project Staff
- Bodner Gernot, Project Staff
- Leisch Friedrich, Project Staff
- Gierus Martin, Project Staff
- Himmelbauer Heinz, Project Staff
- Michel Sebastian, Project Staff
- Mehofer Maximilian, Project Staff
- BOKU Research Units
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Institute for Biotechnology in Plant Production
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Institute of Agronomy
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Institute of Animal Nutrition, Livestock Products, and Nutrition Physiology (TTE)
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Institute of Computational Biology
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Institute of Plant Breeding
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Institute of Statistics
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Institute of Viticulture and Pomology
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- Funded by
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Austrian Research Promotion Agency, Sensengasse 1, 1090 Wien, Austria
- Abstract
- The MoFAB project is submitted within the framework of the R&D infrastructure funding - 3rd call of the FFG: At the University and Research Center Tulln, a Phenomobile (field vehicle for the recording of plant characteristics) is procured, equipped with a customized 3D fusion sensor consisting of laser scanner with spectral, respectively thermal camera, and prepared for field measurements. The fusion sensor will be calibrated and validated using a grapevine pot experiment on networked field scales, handheld sensors, and destructive measurements, and used in drought stress experiments under a mobile greenhouse and in field trials. The fusion data will be used, with algorithms, to develop data pipelines for new crop traits. A combine with integrated phenotyping equipment (weighing system, NIRS) will be procured, and used to reference traits determined with the Phenomobile. A particular focus is the development of absolute and comparable measurements of leaf nitrogen content and stomatal conductance, useful traits for developing feedback loops for digitizing agricultural nitrogen and water management and selection in breeding.
- Keywords
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Cultivation of land;
Grain cultivation ;
Agricultural engineering;
Plant cultivation;
Plant nutrition;
Plant protection;
Plant breeding;
Viticulture;
Agroecology;
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models;
phenotyping;
sensors;