Industry Talk: Commercial Applications of Machine Learning in Agriculture

8 Feb 2019 1:30 PM - 2:30 PM
Presenter/Speaker: Peter Reutemann, Senior Research Programmer, Applied Machine Learning Group, Computer Science Department, University of Waikato
Location: G.1.15

Using Machine Learning in an agricultural context for building predictive models on spectral, thermal and image data. Rapid application development is achieved with the help of workflows, by writing Java components only once and applying them without any additional code.

BIO
After a stint in industry, co-developing an ERP system for bookshops and small publishers in Pascal/Delphi, an undergraduate thesis piqued Peter's interest in machine learning, therefore pursuing a masters degree at Freiburg University and writing his thesis on propositionalization here at Waikato University using Java. After graduating, several Java-based research projects at Waikato (semi-supervised learning, gas-chromatography mass-spectrometry data processing), research funding for computer science in NZ dried up and shifted the focus to commercial applications of machine learning, moving closer to industry again. For all projects, commercial or research, the ADAMS workflow platform (Java, open-source) is used to allow for rapid application development and easy integration into business processes.