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Precision Pest Management:

Canopée is currently developing a complete aerodronautic platform for high-precision agricultural spreading, "Entobot". This research and development project, a world first, is conducted by Canopée in conjunction with MAPAQ, Anatis Bioprotection, l’IRDANatural Resources CanadaÉcole de Technologie supérieure, CRSNG, ARA Robotique and many other partners.

Beginning in 2016, the first two components of this development project focused on improving current methods of releasing beneficial insects in pest control. Experimental spreading from the new Entobot system allowed for the release of trichogramma over sweet corn to control european corn borer and mixed boreal forests to control spruce budworm.

This use of Canopée's new UAV application system allows producers and forest operators who already use other insect release methods to save costs and increase their efforts in biological control. In addition, thanks to the Canopée team's complete handling of the process, this new UAV release method will provide farmers and foresters with the opportunity to integrate bioprotection into their processes, replacing the use of pesticides.

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Release of trichograms by drone in the biological control of corn borer.

A research project led by:
Anatis Bioprotection, IRDA

Partners:
MAPAQ - Center of Quebec
ÉTS / NSERC
ARA Robotics
FQPFLT
Bonduelle
Specialties Lassonde
CEROM

Thanks: Papeterie Saint-Armand

Application of trichogramma ¹

400k

Eggs / Ha

0,5

Hr endurance

20

Ha / hour

0

Pesticides

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Counting and analysis of plant height

Counting crops at high levels of accuracy on the ground takes a long time. Even manual counting from images can become dizzying and can not provide reliable results.

To solve this problem, an algorithm has been developed to automatically count crops using specialized image analysis software. The resulting number of crops can be supplied in different files formats and can be imported into any GIS viewer.

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In corn, for example, plant height can be an indicator of yield and other parameters because it is strongly influenced by soil, temperature and light intensity.

To solve this problem, we developed a comparative analysis method to evaluate the height of the plants by comparison in visible and infrared imaging. The result is provided as an elevation map

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