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Development of an online XRF method to determine micro- and macro nutrients in soil

  • The need for sustainable and effective usage of limited resources like water and soil becomes more and more important due to increasing populations and their need for food. The research initiative BonaRes funded by the Federal Ministry of Education and Research, develops strategies to use soil as a sustainable resource for the bio-economy. One part of this initiative is the Intelligence for soil (I4S) project. It deals with the development of an integrated system for the site-specific soil fertility management. The goal of the project is to establish a mobile sensor platform for soil mapping as well as to apply soil and crop models to deal with the high amount of produced data. These models are going to be used to formulate recommendations on the use of fertilizers and to gain an improvement on the soil fertility. Using these information’s, the environmental pollution with substances like nitrate contained in fertilizers can be decreased. Furthermore, the costs for farmers can beThe need for sustainable and effective usage of limited resources like water and soil becomes more and more important due to increasing populations and their need for food. The research initiative BonaRes funded by the Federal Ministry of Education and Research, develops strategies to use soil as a sustainable resource for the bio-economy. One part of this initiative is the Intelligence for soil (I4S) project. It deals with the development of an integrated system for the site-specific soil fertility management. The goal of the project is to establish a mobile sensor platform for soil mapping as well as to apply soil and crop models to deal with the high amount of produced data. These models are going to be used to formulate recommendations on the use of fertilizers and to gain an improvement on the soil fertility. Using these information’s, the environmental pollution with substances like nitrate contained in fertilizers can be decreased. Furthermore, the costs for farmers can be decreased if only the amounts of fertilizer actually needed are applied to the field. The task for the Federal Institute for Materials Research and Testing (BAM) is the installation and optimization of a handheld XRF sensor for the online measurement directly on the field. It is a non-destructive technique and quite suitable for the online approach due to a low maintenance in the sample preparation and a fast and simultaneous multi element analysis. The elements of interest in this case are light elements like phosphorus, calcium and potassium. One of the major tasks is the calibration of the sensor for different soils, therefore, calibration models are evolved to deal with different types of soil. Due to the multi element analysis, micro and macro nutrients can be determined simultaneously. Those differ a lot in their contents which makes it inevitable to optimize and adapt the measuring procedure. By analyzing soil, its always important to deal with matrix effects, that is why the influence of different disturbances like the moisturize content and the grain size needs to be investigated. The XRF is only one of many sensors that combined give customized fertilizing recommendations in the end.zeige mehrzeige weniger

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Metadaten
Autor*innen:Maria Eichhorn
Koautor*innen:Romina Eggers, Markus Ostermann
Dokumenttyp:Posterpräsentation
Veröffentlichungsform:Präsentation
Sprache:Englisch
Jahr der Erstveröffentlichung:2019
Organisationseinheit der BAM:1 Analytische Chemie; Referenzmaterialien
1 Analytische Chemie; Referenzmaterialien / 1.4 Prozessanalytik
DDC-Klassifikation:Technik, Medizin, angewandte Wissenschaften / Ingenieurwissenschaften / Sanitär- und Kommunaltechnik; Umwelttechnik
Freie Schlagwörter:BonaRes; XRF
Themenfelder/Aktivitätsfelder der BAM:Umwelt
Umwelt / Umwelt-Material-Interaktionen
Veranstaltung:CANAS 2019
Veranstaltungsort:Freiberg, Germany
Beginndatum der Veranstaltung:24.09.2019
Enddatum der Veranstaltung:26.09.2019
Verfügbarkeit des Dokuments:Datei im Netzwerk der BAM verfügbar ("Closed Access")
Datum der Freischaltung:18.11.2019
Referierte Publikation:Nein
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