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Digital agriculture: Non-destructive Phenotyping and Disease Symptom Monitoring using Remote Sensing
Agriculture must meet the needs of the continuously growing world population. To this end, sustainable strategies that improve resource use efficiency (human, fuel, water, herbicides, pesticides, and fertilizers), reduce inputs and environmental impacts, and sensing methodologies that provide actionable information are in demand. This research will increase the potential for collecting high-quality data in the field to break the data bottleneck and automate data analysis processes to conduct routine biological investigations and phenotypic predictions. The project aims to develop a digital scouting method that enables farmers to conduct routine biological investigations and phenotypic predictions of crops using remote sensing.
Faculty Supervisor:
Muditha Heenkenda
Student:
Partner:
Universidad Nacional Autónoma de México
Discipline:
Earth science
Sector:
Education
University:
Lakehead University
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.