315 citations · 696 across the 9 of their papers we have counts for
6 papers · 1 filter
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…
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…