Training Machine Learning to Monitor Cricket Farms

By 2050 the global population is projected to reach 9.8 billion, and food supply must sustainably scale to keep up with the population’s growing nutritional demand. Insects are rich in protein and require substantially less environmental resources compared to the standard protein sources of today, making them a promising food of the future. To optimize farming practices and ensure insect welfare, we are gathering data to train artificial intelligence to monitor cricket colonies. Once the system is commercially launched, farmers should be able to reallocate their time away from monitoring and towards improving operations and conducting research and development tasks. As a result, production costs should drop, which will enable technology-inclusive farms to produce more affordable products.

Faculty Supervisor:

Heath MacMillan;Susan M. Bertram

Student:

Partner:

Bug Mars

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

Carleton University

Program: