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 selection of a cultivar should be an essential element in any sound irrigation management strategy. This project aims to optimize water use in potato farming.
Researcher: Carl Boivin
This project aims to develop mass trapping strategies to keep damage caused by the striped cucumber beetle populations below the economic threshold, while minimizing the capture of pollinators and natural enemies.
Researcher: Annabelle Firlej
To increase the productivity of potato production systems and preserve soil quality, we need to enhance our knowledge of interactions among biological, physical, chemical, and agronomic characteristics of cultivated soils in various environments.
Researcher: Richard Hogue