“Tincan” decision support tool for grain crop storage and conditioning activities.

Create an automated “on line” decision tree for crop conditioning that allows predict and control the behavior of key indicators during the grain storage by Identifying the main factors that are related to the drying and storage of grain as well as the relations between those factors.

Faculty Supervisor:

Dr. Vladimir Mahelec

Student:

Edgar Soler

Partner:

Weather Innovations

Discipline:

Engineering

Sector:

Agriculture

University:

McMaster University

Program:

Accelerate

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