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Special seminar by Dr. Fereshteh Mafakheri, PhD, EIT, Concordia University

There is massive amount of real-time data collected on farms through different means about weather and soil conditions, water use, equipment, seeds, fertilizer usage, etc. Big data analytics could generate prescriptions for plantation and predictive models for yield estimation to help farmers move beyond productivity targets and towards achieving further cost efficiency, accuracy, and environmental safety in crop production. In this talk, an overview of big data analytics is presented followed by examples of using descriptive, predictive, prescriptive analytics in various farming practices, their benefits and challenges. This will be further supported by evidence from the presenter鈥檚 current and proposed research activities.

ABOUT THE AUTHOR

Dr. Fereshteh Mafakheri is a faculty member at Concordia Institute for Information Systems Engineering. Her research focuses on smart/data-driven production and logistics, with an emphasis on using data analytics in agri-biomass energy production. Fereshteh鈥檚 research has been funded by NSERC and FRQNT. She holds an NSERC discovery grant on 鈥淐oordinated Sourcing, Logistics, and Production of Agri-Biomass Energy for Northern Communities鈥�. Dr. Mafakheri received her PhD from the University of Montreal in Decision Sciences, and holds Master鈥檚 and Bachelor鈥檚 degrees in Industrial Engineering.

EVERYONE IS WELCOME TO ATTEND.