Program


Master’s degree in geographical sciences, research-type path in remote sensing

Advisor


Yacine Bouroubi

Field of research


Screening of pests in vegetable agriculture by convolutional neural network applied to UHR images

The project aims to develop pest detection methods in market gardening. The screening will be carried out on ultra high resolution images. These images will be acquired from robots, cellular devices, tractors or drone. Images will be processed using convolutional neural network (CNN). The CNN developed can be used to spatially target the presence and absence of pests. This information is critical in the intelligent management of plant protection products applied in the field.

Contact


mathieu.n.st-laurent@usherbrooke.ca

819 574-7066