Soil moisture estimation using satellite imageries for Canadian croplands

Agricultural water management, being a critical area in accordance with the freshwater consumption rate, should be regulated with the help of emerging cutting-edge research. Recent research proves that precision technologies significantly reduce the agricultural input cost for the farmers thereby increasing their net revenue at the end of harvest. Technologies such as AI, remote sensing, unmanned aerial vehicles (UAV’s) etc. are the recent trend in agricultural research. Precise water and nutrient application to the crop fields reduce significant percent of agricultural input application. The results of this innovative research program will have a very significant impact on increasing the sustainability and economic competitiveness of irrigated agriculture in Canada, and internationally. Overall, the results from this research will be a beneficiary to water resource planners and irrigation managers in the real-time basis design, planning and allocation of irrigation water. Provincial and federal government will use the information to come-up with water policies to optimize water consumption.

Faculty Supervisor:

Chandra Madramootoo

Student:

Partner:

TensoAI Inc

Discipline:

Engineering

Sector:

Agriculture

University:

McGill University

Program: