315 citations · 696 across the 9 of their papers we have counts for
9 papers
Fusion of Satellite Images and Weather Data with Transformer Networks for Downy Mildew Disease Detection
William Maillet, Maryam Ouhami, Adel Hafiane
Crop diseases significantly affect the quantity and quality of agricultural production. In a context where the goal of precision agriculture is to minimize or even avoid the use of…
Generative models-based data labeling for deep networks regression: application to seed maturity estimation from UAV multispectral images
Eric Dericquebourg, Adel Hafiane, Raphael Canals
Monitoring seed maturity is an increasing challenge in agriculture due to climate change and more restrictive practices. Seeds monitoring in the field is essential to optimize the…
Vision Transformers For Weeds and Crops Classification Of High Resolution UAV Images
Reenul Reedha, Eric Dericquebourg, Raphael Canals +1
Crop and weed monitoring is an important challenge for agriculture and food production nowadays. Thanks to recent advances in data acquisition and computation technologies, agricul…
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…
A deep learning based multiscale approach to segment cancer area in liver whole slide image
Yanbo Feng, Adel Hafiane, Hélène Laurent
This paper addresses the problem of liver cancer segmentation in Whole Slide Image (WSI). We propose a multi-scale image processing method based on automatic end-to-end deep neural…
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…
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…
Robust Adaptive Median Binary Pattern for noisy texture classification and retrieval
Mohammad Alkhatib, Adel Hafiane
Texture is an important cue for different computer vision tasks and applications. Local Binary Pattern (LBP) is considered one of the best yet efficient texture descriptors. Howeve…
Deep learning with spatiotemporal consistency for nerve segmentation in ultrasound images
Adel Hafiane, Pierre Vieyres, Alain Delbos
Ultrasound-Guided Regional Anesthesia (UGRA) has been gaining importance in the last few years, offering numerous advantages over alternative methods of nerve localization (neurost…