Each year, IRDA's R&D Team conducts more than one hundred research projects in sustainable agriculture. What's more, IRDA is working with Quebec's key agricultural stakeholders to find concrete solutions.
Showcase that will present and compare, in an impartial manner, a number of decision-support tools and technologies.
Development of a growing out-of-soil organic raspberries in high tunnels protocol in a profitable and competitive manner with a view to selling products locally or to large retail chains.
Researcher: Annabelle Firlej
This project aims to explore and experiment new approaches and ways to preserve, develop, and enhance the MRC’s bio-food sector, and reduce or eliminate the water deficit on the island.
As part of this project, the soil water status at a chosen blueberry farm will be monitored at 40 spots over the course of the production year. We will seek to identify the relationship between water extraction, physicochemical and environmental factors, and yield levels that could help explain yield variability.
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.
Modifying the cropping system design is an effective way to improve potato crop water-use efficiency and, thereby, lessen the risk of crops experiencing water stress.
This project looks to develop decision-support tools informed by observations of “bellwether” plots and use these tools to disseminate relevant information to irrigators.
This project proposes an intervention in a typical potato cropping system to enhance the crop uptake of water and nitrogen.
Development of a strategy for rapidly producing biomass using restoration and irrigation.
Researcher: Stéphane Godbout
This project was aimed at determining potassium doses (5 doses) to apply before planting on nitrogen-fertigated cucumber crops grown on plastic mulch.
Researcher: Christine Landry
Exploration of the potential of detecting water stress in lowbush blueberries using a thermal infrared imaging sensor installed on a drone.
The aim of this project is to improve the productivity of haskap orchards by promoting more efficient water and nutrient uptake.
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.
and quality of soil, water, and air
of local communities by improving the quality of crop and livestock production, with an emphasis on animal welfare
of crop and livestock production