Wild blueberry geospatial image analysis

We will develop complex image analysis processes to advance and tighten our current processes and more accurately and speedily identify bare spots and in addition develop new processes to identify specific weeds that cause problems in wild blueberry fields. Using spatially accurate drone photography of wild blueberry fields the intern would use custom programming logic to develop image analysis software code to identify entities within those fields. Foreign entities include bare ground, weed species and grasses. Once identified these entity areas would be converted into polygons and stored in a geospatial database for use in developing prescription maps.

Faculty Supervisor:

Milton King

Student:

Partner:

Bragg Lumber Company Limited

Discipline:

Computer science

Sector:

Technology; Forestry

University:

St. Francis Xavier University

Program: