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LoC-SensAI: Low-Cost IoT RF Sensing with AI for Real-Time Precision Irrigation Decision
The LoC-SensAl project develops an affordable system to help farmers manage irrigation in real-time using low-cost sensors and Artificial Intelligence (AI). One intern will focus on designing the physical sensors to measure soil moisture, while the other will create AI models to turn that data into precise watering schedules. This technology will help farmers save money and water while improving crop yields. Ultimately, the project promotes sustainable agriculture and protects natural resources in both Canada and Tunisia by making “smart farming” tools more accessible.
Faculty Supervisor:
Lokman Sboui
Student:
Partner:
École supérieure de communications de Tunis (SUP'COM)
Discipline:
Engineering
Sector:
Agriculture and Food; Artificial Intelligence
University:
École de technologie supérieure
Program:
Globalink Research Award
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Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.