Environmental monitoring, camera data collection and modelling in CEA

Controlled environment agriculture (CEA) is progressing toward innovative solutions specifically with remote monitoring instrumentation and artificial intelligence, can predict and detect physiological plant characteristics that will improve crop yield. The overall objective of this study is to design and build a test growth chamber to evaluate and remotely monitor environmental conditions and plant health. Environmental data will be collected with and without plants to understand sensor range and consistency. After building and testing the system, different plant species (oats, barley, canola, wild tobacco, medicinal plants, and possibly others) will be tested in situ to monitor plant growth and plant architecture. The collected environmental data with plant production data will be linked to develop an environmental thermal and mass flow model to better understand the operational parameters of this experimental growth space, provide valuable insight into assessing microclimate variability in CEA.

Faculty Supervisor:

Mark Lefsrud

Student:

Partner:

Canadensys Aerospace

Discipline:

Life Sciences

Sector:

Manufacturing; Professional, scientific and technical services

University:

McGill University

Program: