Evaluation of technological tools for early, non-invasive and automated disease detection



Analyzing and evaluating data

Aim / objectives:
To evaluate different applicable approaches allowing the reduction of the use of antibiotics by the early, non-invasive and automated detection of the disease both in nursery and finishing.
  • Carry out a technical-economic study based on the results obtained on the farm and the costs of the technologies linked to the collection of each of the characters of interest at different levels of precision (data per room, per park or individual);
  • Issue recommendations for the application of precision farming for the detection of diseases on commercial farms.
  • The project will particularly target the monitoring of weight, feed consumption and watering on batches of pigs from individual data which have already shown potential for application on a commercial farm for the detection of diseases.


Jacquelin Labrecque et employés, Conception Ro-Main.
Project Cost:
Funding Partners:
Financial support for this project has been provided through the Programme de développement sectoriel within the Canadian Agricultural Partnership, an agreement between the Government of Canada and the Government of Quebec, PigGen Canada, Conception Ro-Main, Les Éleveurs de porcs du Québec and le Centre de développement du porc du Québec inc. (CDPQ).
January 2019 to January 2021
Project Manager:
Patrick Gagnon
CDPQ Team:
Léonie Morin-Doré, diplômé en ingénierie, agroéconomiste, ouvriers agricoles et chargé de projets