Prof. Dr. Frank Leßke

Software-Engineering

Adresse: C5.209
Vöttinger Str. 27
85354 Freising
Funktionen: Wissenschaftlicher Leiter Rechenzentrum
CIO der Hochschule
Leiter der IT-Kommission
Mitglied in Forschungskommission und Ausschuss für IT Sicherheit
Fakultät: Fakultät Bioingenieurwissenschaften

Sprechstunde: nach Vereinbarung
Ersatzbüro wegen Winterschließung C5: D1.415

Lehrveranstaltungen
Grundlagen der Informatik

Algorithmen und Datenstrukturen

Systemprogrammierung

Software Engineering

Theoretische Informatik

Software Architektur

Mustererkennung

Algorithmen der Bioinformatik

Intelligente Systeme

Kryptographie

Grundlagen der Bioinformatik
Forschungsschwerpunkte
Digitalisierung in der Landwirtschaft

Software Entwicklung / Software Architekturen

Intelligente Systeme / Lernende Systeme

Publikationen

Beiträge in Monografien, Sammelwerken, Schriftenreihen
- Fabian Weckesser, Marcus Albrecht, Prof. Dr. Kurt-Jürgen Hülsbergen, Prof. Dr. Frank Leßke
  
  Nährstoffeffiziente Fruchtfolgen durch erfolgreiches Leguminosen-Gras Management (2024) FIBL Deutschland e.V. (Hg.): Proceedings der 17. Wissenschaftstagung Ökologischer Landbau. 5.-8. März 2024. Gießen .
- Fabian Weckesser, Marcus Albrecht, Prof. Dr. Kurt-Jürgen Hülsbergen, Prof. Dr. Frank Leßke
  
  A DSS for the termination of legume-rich leys (2023) Gesellschaft für Pflanzenbauwissenschaften e.V. (Ed.): Proceedings of the 64. annual meeting. Digital tools, big data, modeling and sensing methods for sustainable and climate smart crop and grassland systems. Göttingen. , S. 51-52.
  
  Mehr
Bücher / Monografien
- Prof. Dr. Kurt-Jürgen Hülsbergen, Prof. Dr. Frank Leßke, Franz-Xaver Maidl, Martin Mittermayer, Johannes Schuster, Andreas Kern, Ludwig Hagn, Fabian Weckesser
  
  Minderung von Nitratausträgen durch digitales Stickstoffmanagement und sensorgestützte Düngung in der Modellregion Burghausen/Burgkirchen (2024) Weihenstephaner Schriften Ökologischer Landbau und Pflanzenbausysteme Band 17 .
Vorträge
- Fabian Weckesser, Prof. Dr. Frank Leßke
  
  Entwicklung und Validierung eines Entscheidungsunterstützungssystems für Düngung und Nährstoffmanagement (2023) Vortrag auf der Fachtagung Innovationen im Pflanzenbau am 12.06.2023, Burghausen .
Beiträge zu wissenschaftlicher Konferenz/Tagung
- Josef Donauer, Dipl. Ing. (FH) Marco Luthardt, Prof. Dr. Frank Leßke, Prof. Dr. Kurt-Jürgen Hülsbergen
  
  Berechtigungen: Peer Reviewed
  
  Webbasiertes Nährstoffmanagement im ökologischen Landbau (2023) Tagungsband der 16. Wissenschaftstagung Ökologischer Landbau am FiBl vom 08.-10.03.2023 in Frick in der Schweiz .
  
  Mehr
Zeitschriftenbeiträge (peer-reviewed)
- Fabian Weckesser, Prof. Dr. Frank Leßke, Dipl. Ing. (FH) Marco Luthardt, Prof. Dr. Kurt-Jürgen Hülsbergen
  
  Berechtigungen: Open Access
  
  Berechtigungen: Peer Reviewed
  
  Conceptual Design of a Comprehensive Farm Nitrogen Management System (2021) Agronomy 11 (12). DOI: 10.3390/agronomy11122501
  
  Data that are required for nutrient management are becoming increasingly available in digital format, leading to a high innovation potential for digital nitrogen (N) management applications. However, it is currently difficult for farmers to analyze, assess, and optimize N flows in their farms using the existing software. To improve digital N management, this study identified, evaluated, and systematized the requirements of stakeholders. Furthermore, digital farm N management tools with varying objectives in terms of system boundaries, data requirements, used methods and algorithms, performance, and practicality were appraised and categorized. According to the identified needs, the concept of a farm N management system (FNMS) software is presented which includes the following modules: (1) management of site and farm data, (2) determination of fertilizer requirements, (3) N balancing and cycles, (4) N turnover and losses, and (5) decision support. The aim of FNMS is to support farmers in their farming practices for increasing N efficiency and reducing environmentally harmful N surpluses. In this study, the conceptual requirements from the agricultural and computer science perspectives were determined as a basis for developing a consistent, scientifically sound, and user-friendly FNMS, especially applicable in European countries. This FNMS enables farmers and their advisors to make knowledge-based decisions based on comprehensive and integrated data.
  Mehr
- Rofida Wahmann, Stefan Moser, Stefan Bieber, Catarina Cruzeiro, Peter Schröder, Bc.S. August Gilg, Prof. Dr. Frank Leßke, Thomas Letzel
  
  Berechtigungen: Open Access
  
  Berechtigungen: Peer Reviewed
  
  Untargeted Analysis of Lemna minor Metabolites: Workflow and Prioritization Strategy Comparing Highly Confident Features between Different Mass Spectrometers (2021) Metabolites 11 (12). DOI: 10.3390/metabo11120832
  
  Metabolomics approaches provide a vast array of analytical datasets, which require a comprehensive analytical, statistical, and biochemical workflow to reveal changes in metabolic profiles. The biological interpretation of mass spectrometric metabolomics results is still obstructed by the reliable identification of the metabolites as well as annotation and/or classification. In this work, the whole Lemna minor (common duckweed) was extracted using various solvents and analyzed utilizing polarity-extended liquid chromatography (reversed-phase liquid chromatography (RPLC)-hydrophilic interaction liquid chromatography (HILIC)) connected to two time-of-flight (TOF) mass spectrometer types, individually. This study (introduces and) discusses three relevant topics for the untargeted workflow: (1) A comparison study of metabolome samples was performed with an untargeted data handling workflow in two different labs with two different mass spectrometers using the same plant material type. (2) A statistical procedure was observed prioritizing significant detected features (dependent and independent of the mass spectrometer using the predictive methodology Orthogonal Partial Least Squares-Discriminant Analysis (OPLS-DA). (3) Relevant features were transferred to a prioritization tool (the FOR-IDENT platform (FI)) and were compared with the implemented compound database PLANT-IDENT (PI). This compound database is filled with relevant compounds of the Lemnaceae, Poaceae, Brassicaceae, and Nymphaceae families according to analytical criteria such as retention time (polarity and LogD (pH 7)) and accurate mass (empirical formula). Thus, an untargeted analysis was performed using the new tool as a prioritization and identification source for a hidden-target screening strategy. Consequently, forty-two compounds (amino acids, vitamins, flavonoids) could be recognized and subsequently validated in Lemna metabolic profile using reference standards. The class of flavonoids includes free aglycons and their glycosides. Further, according to our knowledge, the validated flavonoids robinetin and norwogonin were for the first time identified in the Lemna minor extracts.
  Mehr
- Dr. Michael Krappmann, Prof. Dr. Frank Leßke, Dipl. Ing. (FH) Marco Luthardt, PD Dr. Thomas Letzel
  
  Berechtigungen: Open Access
  
  Berechtigungen: Peer Reviewed
  
  The Software-Landscape in (Prote)Omic Research (2015) Journal of Proteomics & Bioinformatics 8 (7), S. 164-175. DOI: 10.4172/jpb.1000365
  
  (Bio)Informatics plays a major role in (prote)omic research experiments and applications. Analysis of an entire proteome including protein identification, protein quantification, detecting biological pathways, metabolite identification and others is not possible without software solutions for analyzing the resulting huge data sets. In the last decade plenty of software-tools, -platforms and databases have been developed by vendors of analytical hardware, as well as by freeware developers and the open source software community. Some of these software packages are very much specialized for one (omic) topic, as for example genomics, proteomics, interactomics or metabolomics. Other software tools and platforms can be applied in a more general manner, e.g. for generating workflows, or performing data conversion and data management, or statistics. Nowadays the main problem is not to find out a way, how to analyze the experimental data, but to identify the most suitable software for this purpose in the vast software-landscape. This review focuses on the following issue: How complex is the link between biology, analysis and (bio) informatics, and how complex is the variety of software tools to be used for scientific investigations, starting from microorganisms up to the detection of a proteome. Thereby the main emphasis is on the variety in software for (LC) MS(/MS) proteomics. In the World Wide Web sites like ExPASy show extensive lists of proteomics software, leaving it to the user to identify which software actually serves their purposes. First we consider the huge variability of software in the field of proteomics research. Then we take a closer look on the variability of MS data and the incompatibilities of software tools with respect to that. We give an overview over commonly used software technologies and finally end up with the question, whether open source software would not add more value to this field.
Wissenschaftliche Poster
- Joseph Donauer, Dipl. Ing. (FH) Marco Luthardt, Prof. Dr. Frank Leßke, Prof. Dr. Kurt-Jürgen Hülsbergen
  
  Development of a web-based farm-nutrient-management system: requirements and model structure, AGROSYM 2021: XII International Agriculture Symposium, Bosnien-Herzegovina (2021)
  
  Mehr
- Fabian Weckesser, Prof. Dr. Kurt-Jürgen Hülsbergen, Prof. Dr. Frank Leßke
  
  Integration of diverse data into a Farm-Nitrogen-Mangement System (FNMs) (2021) Mitteilungen der Gesellschaft für Pflanzenbauwissenschaften, 63- Jahrestagung der Gesellschaft für Pflanzenbauwissenschaften e.V., Closing the Cycle: Pflanze und Tier im Agrarsystem Band 32 , S. 138.
  
  Mehr
- Fabian Weckesser, Prof. Dr. Kurt-Jürgen Hülsbergen, Dipl. Ing. (FH) Marco Luthardt, Prof. Dr. Frank Leßke
  
  Wissensbasierte Entscheidungsunterstützung zum Umbruch von Leguminosen-Gras Beständen (2021) Tagung: Nährstoffmanagement im ökologischen Landbau, 26. und 27. August 2021, TUM School of Life Sciences - Weihenstephan .
  
  Mehr
- Dr. Michael Krappmann, Prof. Dr. Frank Leßke, PD Dr. Thomas Letzel
  
  Achroma - a software strategy for analysing (a-)typical mass spectrometric data (2013) Anakon-Tagung, 4. bis 7. März 2013, Essen - Deutschland .
- Dipl. Ing. (FH) Marco Luthardt, Dr. Michael Krappmann, Prof. Dr. Frank Leßke, PD Dr. Thomas Letzel
  
  openMASP – high performance software technology for analytical chemistry (2012) Umweltsymposium, Leipzig - Deutschland .
- Dr. Michael Krappmann, Dipl. Ing. (FH) Marco Luthardt, P. Wenig, Prof. Dr. Frank Leßke, PD Dr. Thomas Letzel
  
  Cloudy Analytics – High Performance Software Technology for Analytical Chemistry (2011) 8. Langenauer Wasserforum, 07.-08.11.2011, Langenau - Deutschland .

Forschungsprojekte

Laufzeit: 01.04. – 31.10.2022

Schwerpunkt: Umweltvorsorge

Forschungsstatus: Abgeschlossen
Machbarkeitsstudie zum Agrardatenraum Bayern
Die Schaffung von Datenräumen (engl. data spaces) gewinnt in allen Wirtschaftszweigen an Bedeutung. Dies eröffnet organisatorische, wirtschaftliche, rechtliche, aber auch technische und …
Mehr
- Projektleitung HSWT: Prof. Dr. Sebastian Peisl, Prof. Dr. Frank Leßke
Laufzeit: 01.01.2020 – 31.12.2023

Schwerpunkt: Weitere Forschungsfelder

Forschungsstatus: Abgeschlossen
Minderung von Nitratausträgen durch digitales Stickstoffmanagement und sensorgestützte Düngung in der Modellregion Burghausen/Burgkirchen (digisens)
In der Modellregion Burghausen/Burgkirchen werden in enger Zusammenarbeit von Wissenschaft, Landwirtschaft und Beratung innovative Technologien des digitalen Nährstoffmanagements und der …
Mehr
- Projektleitung HSWT: Prof. Dr. Frank Leßke

Zeige weitere 8 Forschungsprojekte dieser Person

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Prof. Dr. Frank Leßke

Lehrveranstaltungen

Forschungsschwerpunkte

Publikationen

Beiträge in Monografien, Sammelwerken, Schriftenreihen

Nährstoffeffiziente Fruchtfolgen durch erfolgreiches Leguminosen-Gras Management (2024) FIBL Deutschland e.V. (Hg.): Proceedings der 17. Wissenschaftstagung Ökologischer Landbau. 5.-8. März 2024. Gießen .

A DSS for the termination of legume-rich leys (2023) Gesellschaft für Pflanzenbauwissenschaften e.V. (Ed.): Proceedings of the 64. annual meeting. Digital tools, big data, modeling and sensing methods for sustainable and climate smart crop and grassland systems. Göttingen. , S. 51-52.

Bücher / Monografien

Minderung von Nitratausträgen durch digitales Stickstoffmanagement und sensorgestützte Düngung in der Modellregion Burghausen/Burgkirchen (2024) Weihenstephaner Schriften Ökologischer Landbau und Pflanzenbausysteme Band 17 .

Vorträge

Entwicklung und Validierung eines Entscheidungsunterstützungssystems für Düngung und Nährstoffmanagement (2023) Vortrag auf der Fachtagung Innovationen im Pflanzenbau am 12.06.2023, Burghausen .

Beiträge zu wissenschaftlicher Konferenz/Tagung

Webbasiertes Nährstoffmanagement im ökologischen Landbau (2023) Tagungsband der 16. Wissenschaftstagung Ökologischer Landbau am FiBl vom 08.-10.03.2023 in Frick in der Schweiz .

Zeitschriftenbeiträge (peer-reviewed)

Conceptual Design of a Comprehensive Farm Nitrogen Management System (2021) Agronomy 11 (12). DOI: 10.3390/agronomy11122501

Untargeted Analysis of Lemna minor Metabolites: Workflow and Prioritization Strategy Comparing Highly Confident Features between Different Mass Spectrometers (2021) Metabolites 11 (12). DOI: 10.3390/metabo11120832

The Software-Landscape in (Prote)Omic Research (2015) Journal of Proteomics & Bioinformatics 8 (7), S. 164-175. DOI: 10.4172/jpb.1000365

Wissenschaftliche Poster

Development of a web-based farm-nutrient-management system: requirements and model structure, AGROSYM 2021: XII International Agriculture Symposium, Bosnien-Herzegovina (2021)

Integration of diverse data into a Farm-Nitrogen-Mangement System (FNMs) (2021) Mitteilungen der Gesellschaft für Pflanzenbauwissenschaften, 63- Jahrestagung der Gesellschaft für Pflanzenbauwissenschaften e.V., Closing the Cycle: Pflanze und Tier im Agrarsystem Band 32 , S. 138.

Wissensbasierte Entscheidungsunterstützung zum Umbruch von Leguminosen-Gras Beständen (2021) Tagung: Nährstoffmanagement im ökologischen Landbau, 26. und 27. August 2021, TUM School of Life Sciences - Weihenstephan .

Achroma - a software strategy for analysing (a-)typical mass spectrometric data (2013) Anakon-Tagung, 4. bis 7. März 2013, Essen - Deutschland .

openMASP – high performance software technology for analytical chemistry (2012) Umweltsymposium, Leipzig - Deutschland .

Cloudy Analytics – High Performance Software Technology for Analytical Chemistry (2011) 8. Langenauer Wasserforum, 07.-08.11.2011, Langenau - Deutschland .

Forschungsprojekte

Machbarkeitsstudie zum Agrardatenraum Bayern

Minderung von Nitratausträgen durch digitales Stickstoffmanagement und sensorgestützte Düngung in der Modellregion Burghausen/Burgkirchen (digisens)