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Remote-Sensing Diagnostic Approach for Modeling Potato Yield Variability
Remote sensing technology has been developing rapidly in the past few years, and agriculture research is utilizing this development through crop monitoring and assessment. The potato crop is very susceptible to climate change impacts such as drought, which require a real-time monitoring system that supports farmers to take quick and accurate actions. This research project is proposing a novel approach that predicts precisely where in the farm and when there will be a potential crop yield decline using satellites and drones. Our efforts in this research are also to help the environment by encouraging farmers to use fewer fertilizers which will sustain ecosystem balance and protect surface water from pollution.
Faculty Supervisor:
Nasem Badreldin
Student:
Partner:
Manitoba Horticulture Productivity Enhancement Centre
Discipline:
Earth science
Sector:
Agriculture
University:
University of Manitoba
Program:
Accelerate
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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.