Economic and sustainability values of a mixed staple and forestry farm

In recent decades, the pacing of global warming has intensified significantly, highlighting the imbalance between sustainable footprints and availability of farming resources. The proposed research extends the development of machine learning platform that tracks the economic and sustainability values on productive surface areas such as mixed staple and forestry farmlands. Beside enabling consumers to reduce vulnerable consumption patterns in light of extreme climatic phenomena, the outcomes of this project will equip the agricultural industry with research-based technology to enhance multidimensional variables of environmental pillar and optimize consumer trust.

Faculty Supervisor:

Trevor Maber

Student:

Partner:

BOLTZ.AI

Discipline:

Business

Sector:

Professional, scientific and technical services

University:

University of Saskatchewan

Program: