Exploring the potential of thermal imaging data acquired by drone for the detection of water stress in lowbush blueberries
Carl Boivin
Researcher, agr., M.Sc.
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
Improving biodiversity in apple orchards – an economic analysis
IRDA is in charge of the economic analysis for this project which purpose is to examine the impact of flower plantings on bumblebee biodiversity in apple orchards in southern Québec.
Researcher: Luc Belzile
Variable economic injury for the apple leafcurling midge and modelling of population abundance of this emerging pest
The apple leafcurling midge is a new apple pest in Québec. The aim of the project is to explore the pest’s phenology, establish variable economic injury thresholds, and incorporate the results into a phenology model in CIPRA.
Researcher: Daniel Cormier
Impact of tree growth and rain on fungicide efficacy against apple scab
The aim of this project is to determine the combined impact on fungicide efficacy of rain and the appearance of new leaves to more accurately identify how long treatments remain effective.
Researcher: Vincent Philion
