Reference number : GC-2017-Q4-01146, amendment number : , agreement type : G, recipient legal name : Madramootoo, Chandra (McGill University)|Madramootoo, Chandra (Université McGill), recipient country : CA, recipient province : nan, recipient city : Quebec|Québec, recipient postal code : nan, program name english : Engage Grants for universities, program name french : Subventions d'engagement partenarial pour les universités, program purpose english : Water scarcity due to climate change, drought, and rising water demands from non-agricultural sectors, is_x000D_
threatening food production. Innovations in irrigation water management are required to optimize agricultural_x000D_
water use in water stressed regions of Canada. This will not only sustain increased crop yields, but will also_x000D_
reduce nutrient leaching and contamination of soil and water. Conventional irrigation water applications rely_x000D_
mainly on soil moisture measurements, which are labor intensive, and also difficult to accurately represent_x000D_
heterogeneity of soil and crop parameters at large spatial scales. However, remotely sensed plant stress_x000D_
indicators, based on the visible and near-infrared spectral regions, have the advantage of high spatial and_x000D_
spectral resolutions, and account for spatial and temporal variability of crops and soil. The proposed research is_x000D_
geared towards the adoption of remotely sensed images, acquired from Unmanned Aerial Vehicles, as a_x000D_
potential method to precisely determine irrigation applications. The project focuses on the use of advanced_x000D_
data and image analysis techniques to provide more precise information about plant water status for real-time_x000D_
irrigation water management that would be cost-effective and commercially available to farmers. This_x000D_
innovative research would generate new scientific knowledge on the use of remotely sensed, real-time data to_x000D_
schedule irrigation and advance variable rate irrigation technology. The industrial partner is Huron Geomatics,_x000D_
a wholly owned Canadian aerial mapping company based in Southern Ontario., program purpose french : Water scarcity due to climate change, drought, and rising water demands from non-agricultural sectors, is_x000D_
threatening food production. Innovations in irrigation water management are required to optimize agricultural_x000D_
water use in water stressed regions of Canada. This will not only sustain increased crop yields, but will also_x000D_
reduce nutrient leaching and contamination of soil and water. Conventional irrigation water applications rely_x000D_
mainly on soil moisture measurements, which are labor intensive, and also difficult to accurately represent_x000D_
heterogeneity of soil and crop parameters at large spatial scales. However, remotely sensed plant stress_x000D_
indicators, based on the visible and near-infrared spectral regions, have the advantage of high spatial and_x000D_
spectral resolutions, and account for spatial and temporal variability of crops and soil. The proposed research is_x000D_
geared towards the adoption of remotely sensed images, acquired from Unmanned Aerial Vehicles, as a_x000D_
potential method to precisely determine irrigation applications. The project focuses on the use of advanced_x000D_
data and image analysis techniques to provide more precise information about plant water status for real-time_x000D_
irrigation water management that would be cost-effective and commercially available to farmers. This_x000D_
innovative research would generate new scientific knowledge on the use of remotely sensed, real-time data to_x000D_
schedule irrigation and advance variable rate irrigation technology. The industrial partner is Huron Geomatics,_x000D_
a wholly owned Canadian aerial mapping company based in Southern Ontario., agreement title english : Application of airborne imagery for mapping water stress and scheduling irrigation for vegetable crops, agreement title french : Application of airborne imagery for mapping water stress and scheduling irrigation for vegetable crops, agreement number : EGP, agreement value : 25000.0, agreement start date : 2018-02-07, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019)., additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019)., owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada