Exploring the potential of thermal imaging data acquired by drone for the detection of water stress in lowbush blueberries
Carl Boivin
Researcher
418 643-2380
ext 430
Description
The principle behind thermal imaging is based on the fact that plants under water stress have a lower transpiration rate and a higher canopy temperature than plants well supplied with water. Canopy temperatures captured by drone can be used to quickly evaluate water stress in crops like lowbush blueberries and guide decisions as to whether irrigation is required.
Objective(s)
- Explore the potential of detecting water stress in lowbush blueberries using a thermal infrared imaging sensor installed on a drone
From 2017 to 2018
Project duration
Fruit production
Activity areas
Optimal water management
Service
IRDA has recognized expertise in precision farming.
Partners
Ministère de l'Agriculture, des Pêcheries et de l'Alimentation du Québec | Institut national de la recherche scientifique
Publications
Research report • Paul Deschênes, Jérémie Vallée, Carl Boivin
Deschênes, P., J. Vallée, P. Chatelle, D. Bergeron, C. Boivin. 2019. Utilisation de l'imagerie thermique acquise par drone pour déterminer le positionnement géographique optimal des tensiomètres dans les champs irrigués. IRDA. 29 p. DownloadThis may interest you
Evaluation of technical efficiency and financial performance of wild blueberry production in Québec
This economic analysis measured the technical efficiency of Québec wild blueberry farms.
Researcher: Luc Belzile
Mating disruption as a new control method for the dogwood borer
This project consisted of using mating disruption to control dogwood borers in five orchards.
Researcher: Daniel Cormier
Improving fire blight detection, prediction, and control
The main aim of this project is to test a bacterial detection technique developed in Austria that consists of quantifying inoculum carried by bees.
Researcher: Vincent Philion
