Christian Krupitzer

Tenure Track Professor

University of Hohenheim

Germany

Research Interests

Explore related searches

Professors in Germany

Contact this professor

ORCID

Google Scholar

Academic Page

About

Christian Krupitzer is a Tenure Track Professor at Universität Hohenheim in Germany. His research interests encompass predictive maintenance in Industry 4.0, machine learning applications in agriculture and food science, and the integration of sensor data with advanced analysis techniques. He has contributed to various fields including blockchain technology for supply chain authentication and the optimization of adaptation planning strategies in edge computing.

Christian Krupitzer

Research Interests

Explore related searches

Contact this professor

About

Articles (19)

Transforming Agricultural Waste from Mediterranean Fruits into Renewable Materials and Products with a Circular and Digital Approach

A Literature Review Framework and Open Research Challenges for Predictive Maintenance in industry 4.0

Integrating Sensor Data, Laboratory Analysis, and Computer Vision in Machine Learning-Driven E-Nose Systems for Predicting Tomato Shelf Life

Enhancing dairy processing with machine learning and domain knowledge: A combined analysis of offline and time series data

Quantum of Trust: Overview of Blockchain Technology for Product Authentication in Food and Pharmaceutical Supply Chains

Using a Machine Learning Regression Approach to Predict the Aroma Partitioning in Dairy Matrices

Adaptation in Edge Computing: A review on design principles and research challenges

Investigating the correlation of analytical data on pesticide residues in fruits and vegetables with local climatic condition

Self-aware Optimization of Adaptation Planning Strategies

Online Monitoring of Sourdough Fermentation Using a Gas Sensor Array with Multivariate Data Analysis

Optimizing storage assignment, order picking, and their interaction in mezzanine warehouses

Prediction of Aroma Partitioning Using Machine Learning

Anticipating food structure of meat products from mastication physics applying machine learning

An Overview on Approaches for Coordination of Platoons

A literature review on optimization techniques for adaptation planning in adaptive systems: State of the art and research directions

A machine learning-based workflow for automatic detection of anomalies in machine tools

Tackling the rich vehicle routing problem with nature-inspired algorithms

Digital Food Twins Combining Data Science and Food Science: System Model, Applications, and Challenges

Proactive hybrid learning and optimisation in self-adaptive systems: The swarm-fleet infrastructure scenario

Collaborators (18)

Viktoria Zettel

Florent Allais

Jörg Hähner

Anthony Stein

Christian Becker

Samuel Kounev

Laura Aliotta

Antonella Castagna

Abdollah Malekjafarian

Nima Afraz

Christine Felicitas Borsum

Patrizia Falabella

Martin Straesser

Veronika Lesch

Paraskevi Yfanti

Andrea Lazzeri

Bernd Hitzmann

Yanyan Zhang

How do I reach out?

Meet Kite AI