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Parvaneh Nowbakht

Project Title: Agri-Environmental Big Data analytics via WebGIS: Geospatial data obfuscation and modelling of crop growth and productivity

Overview: The key objectives of this project :

1. Perform an extensive comparison of spatial data obfuscation methods on Irish agricultural data that is subject to data protection regulations.

2. Test Teagasc developed crop growth/ yield models for winter wheat and spring barley in a geospatial environment.

3. Develop a machine learning methodology that incorporates spatial data obfuscation methods to predict crop suitability and yield at both a farm- and national-level.

4. Demonstrate the utility of obfuscation and machine learning through webGIS big data analytics to predict yields for several commercially important crops.


2018    Research MEngSc in Civil & Environment Engineering (Hydrological Modelling), University            College Cork (UCC), Ireland

2015    Higher Diploma in Sciences in Data Sciences & Analytics, Cork Institute of Technology (CIT)

2013    MSc in Mathematical Modelling and Scientific Computing), University College Cork (UCC)

Programme Area: Crops, Environment and Land Use

Supervisors: Dr.David Wall and Dr. Paul Holloway

Location: University College Cork (UCC) and Johnstown Castle, Wexford 

Funding Source: Teagasc