Hauptinhalt
Topinformationen
Topinformationen
Promovierende und ihre Projekte
Viacheslav Barkov (Slava)
Advanced Machine Learning Regression Methods for Natural System Parameter Estimation from Remote and Proximal Sensing Data
Clara Lößl
Integrated AI analysis of geometric and spectral UAV data using machine learning to derive
high-resolution bio-physical and bio-chemical plant properties in agroforestry systems
Moritz Lucas
Monitoring biodiversity of agroforestry systems, using multisensor Earth-Observation data and deep learning
Anh-Duy Pham
Informed Machine Learning on Sparse Data and Information in the context of barn climate and emissions
Verena Tessaro
Simulation of Environment Sensors – towards digital twins of autonomous agricultural machines
Tim Wollschläger
Development of predictive models to control the anaerobic digestion process
Postdocs
Dr. Hamid Ebrahimy
Postdoc für den Forschungsbereich 1:
Künstliche Intelligenz und Data Science - Methodenentwicklung und Datenanalyse
Dr. Thomas Hänel
Postdoc für den Forschungsbereich 2:
Autonome Systeme - Sensornetzwerke, Robotersteuerung und Datenerfassung
zu besetzen
Postdoc für den Forschungsbereich 3:
Hybride Prozess- und Systemmodellierung - Anwendungsbasierte Entwicklung von Prozesssteuerungen und Digitalen Zwillingen
Assoziierte Promovierende
Daniel Barrelmeyer
Systematic Testing of Agricultural Robots in Simulation and Reality with a Focus on automatic Design and Optimization of Sensor Configurations for Tractor-Implement Combinations
Deepak Hanike Basavegowda
Biodiversity monitoring in semi-natural grasslands using deep learning and Unmanned Aerial Vehicles (UAVs)
Maren Pukrop
Analysis of the segetal flora of agro-ecosystems in high-resolution UAV data using deep learning techniques
Nora Rüter
Patent infringement standards in the field of medical law with regard to the duty of care
Jörg Schemminger
Hybrid physics-based digital twins accounting for process and product variability in postharvest applications
Andreas Schliebitz
Continuous Image Classification on Data Streams using Contrastive Learning and Cluster Analysis
Tjark Schütte
Navigation of Unmanned Ground Vehicles in Horticulture Using A-Priori Information Derived from Remote Sensing Data
Leonid Schwenke
Decomposing Time Series into Symbolic High-Level Features and Relations using Saliency Methods
Muhammad Tayyab
Development of an intelligent optical control drying system for fruits and vegetables
Jason Tenta
Access to and legal protection of (non-personal) data; Data contract law
