It is possible to assess disease risks and calculate soil health and productivity indices using soil microbiome biological characteristics and indicators, in concert with physicochemical, agronomic, and environmental indicator data. Currently, farmers cannot easily access this game-changing knowledge. This project aims to develop an accessible and user-friendly web application that will let stakeholders search the IRDA potato soil database, one of the largest in Canada, to visualize the impact of growing practices and protocols on the biological, physicochemical, and agronomic characteristics of soils cultivated with different cropping systems. This tool will employ a variety of graphical representations to facilitate data viewing. It will also incorporate an algorithm module that will provide customized agronomic interpretations. The project takes advantage of improvements in Big Data interpretation and analysis by integrating user-friendly tools into existing digital platforms. The goal is to promote good agri-environmental practices and help stakeholders easily access and utilize the latest available knowledge.
From 2019 to 2022
Ecosystem protection, Soil health
With this web app, farmers will be able to visualize the impact of practices and protocols on the biological, physicochemical, and agronomic characteristics of soils.
Centre de recherche du CHU de Québec | Consortium de recherche sur la pomme de terre du Québec | Culture H. Dolbec | Ministère de l'Agriculture, des Pêcheries et de l'Alimentation | Université Laval
The aim of this project was to set up a support service to equip producers and others in the industry to improve their irrigation management.
Researcher: Carl Boivin
This project aims to develop a GHD-based fertilizer management system using split band applications for high-N-demand crops grown in rows, e.g., summer cabbage.
Researcher: Christine Landry
New, robotic weed control strategy for widespread use in field vegetables grown organically in Québec.
Researcher: Maryse Leblanc