3 papers
eess.IV2020
VddNet: Vine Disease Detection Network Based on Multispectral Images and Depth Map
Mohamed Kerkech, Adel Hafiane, Raphael Canals
Early detection of vine disease is important to avoid spread of virus or fungi. Disease propagation can lead to a huge loss of grape production and disastrous economic consequences…
eess.IV2019
Vine disease detection in UAV multispectral images with deep learning segmentation approach
Mohamed Kerkech, Adel Hafiane, Raphael Canals
One of the major goals of tomorrow's agriculture is to increase agricultural productivity but above all the quality of production while significantly reducing the use of inputs. Me…
cs.CV2018
Deep Learning with unsupervised data labeling for weeds detection on UAV images
M. Dian. Bah, Adel Hafiane, Raphael Canals
In modern agriculture, usually weeds control consists in spraying herbicides all over the agricultural field. This practice involves significant waste and cost of herbicide for far…