TheoryMesh

Developing optimal production and sustainability models for food supply chains

Problem Statement

Producing food and other goods sustainability is the greatest challenge of our generation. To produce food sustainably there are many factors to consider including the types of crops, the inputs, organic vs. non-organic, use of fertilizer, food waste, transportation to market and other factors. The goal of this project is to develop a model which can take into account factors end-to-end in the food supply chain to inform decisions on methods (organic, traditional, vertical, etc.) and sustainability indicators (green house gases, etc.).

Data Sources

We will be using a combination of the following data sources:

  • Open data available from a variety of sources (i.e. USDA, AWS)
  • Data captured from IoT sensors
  • Satellite image data

Technical Skills

  • Experience with Excel
  • Knowledge of Python or other coding languages
  • Familiarity with Internet of Things devices, i.e. Raspberry PI and sensors
Chris Bunio
Chris Bunio
Co-Founder at TheoryMesh
Cüneyt Gürcan Akçora
Cüneyt Gürcan Akçora
Assistant Professor of Computer Science and Statistics
Edgar Pacheco Castan
Edgar Pacheco Castan
Graduate student
Saimon Yeal Islam
Saimon Yeal Islam
Graduate Student
Thomas Pender
Thomas Pender
Masters student
Igor Pinheiro
Igor Pinheiro
Master’s Student

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