Dr Ebrahim Jahanshiri

ebrahim.jahanshiri@cffresearch.org

Dr. Ebrahim Jahanshiri oversees the research and development of prototype data driven solutions to support CFF’s mission in facilitating wider adoption of underutilised crops within the context of global agricultural diversification initiative.

He has a PhD in GIS and Geomatics Engineering and Masters in Precision Farming and has 10 years of experience in data science. He has been awarded 2 patents and 3 copyrights for his prototypes and decision support tools for real estate and agriculture. Dr Jahanshiri's main research interests are automated land suitability mapping, Pedometrics, crop modelling, crowd sourcing systems as well as development of ontologies and integrated systems for research data management.

Dr Jahanshiri is the CFF coordinator of H2020 project from European Union (LANDSUPPORT). He is a member of Foundation for Open Access Statistics (FOAS), Pedometrics International Union of Soil Scientists, American Society of Agricultural and Biological Engineers and the Open Source Geospatial Foundation (OSGeo).

Latest publications:

1. Jahanshiri, E., Shariff, A. R. M., Khairunniza-Bejo, S., & Wayayok, A. (2016, August). Developing geostatistical mapping tools for precision farming of rice. Acta Horticulturae 1152 (pp. 77-86).

2. Jahanshiri, E., bin Mohamed Shariff, A. R., Amiri, F., Soom, M. A. M., Wayayokb, A., Buyonga, T., & Pradhan, B. (2015). Spatial soil analysis using geostatistical analysis and map Algebra. Arabian Journal of Geosciences, 8(11), 9775-9788.

3. Jahanshiri, E., & Walker, S. (2015). Agricultural Knowledge-Based Systems at the Age of Semantic Technologies. International Journal of Knowledge Engineering-IACSIT, 1, 64-67.

4. Jahanshiri, E., & Shariff, A. R. M. (2014). Developing web-based data analysis tools for precision farming using R and Shiny. In IOP Conference Series: Earth and Environmental Science (Vol. 20, No. 1, p. 012014). IOP Publishing.

5. Jahanshiri, E., Buyong, T., & Shariff, A. R. M. (2011). A review of property mass valuation models. Pertanika Journal of Science & Technology, 19(1), 23-30.