Thermal infrared remote sensing (TIRS) has already shown strong potential for detecting water stress in crops. Although TIRS sensors installed on drones could replace those on satellites, they are not yet widely used.
The aim of this project was to study the relationship between thermal imaging data collected by drone and agrometerological indicators of water stress in potato crops to develop water stress indicators that can be measured by drone.
These indicators can be used to optimize irrigation in potato crops by enabling growers to apply the right amounts of water at the right times in the right places.
Optimal water management
With precision farming, farmers can provide the right amount of irrigation at the right times and in the right places.
Ministère de l'Agriculture, des Pêcheries et de l'Alimentation du Québec | Institut national de la recherche scientifique | Ferme Victorin Drolet
The current project is designed to check the predictability of the biological productivity score.
Researcher: Richard Hogue
We will compare the ability of mixed protocols using blended green manure, with or without the addition of farm manure, to satisfy the nitrogen requirements of a silage corn rotation crop.
Researcher: Christine Landry
To manage clogging risks, the project automated pumping based on water turbidity and cover the filter to prevent light from entering the water and thus reduce algal bloom.
Researcher: Caroline Côté