Remote plant sensing and phenotyping – an e-learning tool in higher education

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

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  • Hochschule Osnabrück
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OriginalspracheEnglisch
Titel des SammelwerksInformatik in der Land-, Forst- und Ernahrungswirtschaft
UntertitelFokus: Resiliente Agri-Food-Systeme
Herausgeber/-innenAnthony Stein, Christa Hoffmann, Arno Ruckelshausen, Thilo Steckel, Floto Helga, Henning Muller
Herausgeber (Verlag)Gesellschaft fur Informatik (GI)
Seiten29-40
Seitenumfang12
ISBN (elektronisch)9783885797241
PublikationsstatusVeröffentlicht - 2023
VeranstaltungResiliente Agri-Food-Systeme: Herausforderungen und Lösungsansätze: 43. Jahrestagung der GIL - Osnabruck, Deutschland
Dauer: 13 Feb. 202314 Feb. 2023
Konferenznummer: 43

Publikationsreihe

NameLecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)
BandP-330
ISSN (Print)1617-5468

Abstract

Within the consortium “Experimentation Field Agro-Nordwest”, a practical concept for knowledge and technology transfer of digital competence in agriculture was created. For this purpose, the web-based e-learning system “SensX” was set up, consisting of videos, presentations and instructions. In addition, the classical e-learning concept was extended by data sets, student experiments and sensor data of plants acquired by a remote phenotyping robot. This resulted in a massive open online course (MOOC), which was tested with agricultural and biotechnology students in higher education at the University of Applied Sciences Osnabrück over two years. The evaluation process of “SensX” included an empirical survey, qualitative interviews of the participating students by an external institution and an evaluation of the concept by the lecturers.

ASJC Scopus Sachgebiete

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Remote plant sensing and phenotyping – an e-learning tool in higher education. / Bethge, Hans; Mählmann, Thomas; Winkelmann, Traud et al.
Informatik in der Land-, Forst- und Ernahrungswirtschaft : Fokus: Resiliente Agri-Food-Systeme . Hrsg. / Anthony Stein; Christa Hoffmann; Arno Ruckelshausen; Thilo Steckel; Floto Helga; Henning Muller. Gesellschaft fur Informatik (GI), 2023. S. 29-40 (Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI); Band P-330).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Bethge, H, Mählmann, T, Winkelmann, T & Rath, T 2023, Remote plant sensing and phenotyping – an e-learning tool in higher education. in A Stein, C Hoffmann, A Ruckelshausen, T Steckel, F Helga & H Muller (Hrsg.), Informatik in der Land-, Forst- und Ernahrungswirtschaft : Fokus: Resiliente Agri-Food-Systeme . Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI), Bd. P-330, Gesellschaft fur Informatik (GI), S. 29-40, Resiliente Agri-Food-Systeme: Herausforderungen und Lösungsansätze, Osnabruck, Niedersachsen, Deutschland, 13 Feb. 2023. <https://dl.gi.de/bitstreams/0f824529-dd4d-4de5-a7b4-3c7477d39245/download>
Bethge, H., Mählmann, T., Winkelmann, T., & Rath, T. (2023). Remote plant sensing and phenotyping – an e-learning tool in higher education. In A. Stein, C. Hoffmann, A. Ruckelshausen, T. Steckel, F. Helga, & H. Muller (Hrsg.), Informatik in der Land-, Forst- und Ernahrungswirtschaft : Fokus: Resiliente Agri-Food-Systeme (S. 29-40). (Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI); Band P-330). Gesellschaft fur Informatik (GI). https://dl.gi.de/bitstreams/0f824529-dd4d-4de5-a7b4-3c7477d39245/download
Bethge H, Mählmann T, Winkelmann T, Rath T. Remote plant sensing and phenotyping – an e-learning tool in higher education. in Stein A, Hoffmann C, Ruckelshausen A, Steckel T, Helga F, Muller H, Hrsg., Informatik in der Land-, Forst- und Ernahrungswirtschaft : Fokus: Resiliente Agri-Food-Systeme . Gesellschaft fur Informatik (GI). 2023. S. 29-40. (Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)).
Bethge, Hans ; Mählmann, Thomas ; Winkelmann, Traud et al. / Remote plant sensing and phenotyping – an e-learning tool in higher education. Informatik in der Land-, Forst- und Ernahrungswirtschaft : Fokus: Resiliente Agri-Food-Systeme . Hrsg. / Anthony Stein ; Christa Hoffmann ; Arno Ruckelshausen ; Thilo Steckel ; Floto Helga ; Henning Muller. Gesellschaft fur Informatik (GI), 2023. S. 29-40 (Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)).
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Download

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AU - Mählmann, Thomas

AU - Winkelmann, Traud

AU - Rath, Thomas

N1 - Conference code: 43

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N2 - Within the consortium “Experimentation Field Agro-Nordwest”, a practical concept for knowledge and technology transfer of digital competence in agriculture was created. For this purpose, the web-based e-learning system “SensX” was set up, consisting of videos, presentations and instructions. In addition, the classical e-learning concept was extended by data sets, student experiments and sensor data of plants acquired by a remote phenotyping robot. This resulted in a massive open online course (MOOC), which was tested with agricultural and biotechnology students in higher education at the University of Applied Sciences Osnabrück over two years. The evaluation process of “SensX” included an empirical survey, qualitative interviews of the participating students by an external institution and an evaluation of the concept by the lecturers.

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Y2 - 13 February 2023 through 14 February 2023

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