no code implementations • 6 Sep 2022 • William Maillet, Maryam Ouhami, Adel Hafiane
In a context where the goal of precision agriculture is to minimize or even avoid the use of pesticides, weather and remote sensing data with deep learning can play a pivotal role in detecting crop diseases, allowing localized treatment of crops.
no code implementations • 9 Aug 2022 • Eric Dericquebourg, Adel Hafiane, Raphael Canals
Traditional methods are based on limited sampling in the field and analysis in laboratory.
no code implementations • 6 Sep 2021 • Reenul Reedha, Eric Dericquebourg, Raphael Canals, Adel Hafiane
Crop and weed monitoring is an important challenge for agriculture and food production nowadays.
no code implementations • 3 Sep 2020 • Mohamed Kerkech, Adel Hafiane, Raphael Canals
The second one is a new deep learning architecture called VddNet (Vine Disease Detection Network).
Image and Video Processing
no code implementations • 25 Jul 2020 • Yanbo Feng, Adel Hafiane, Hélène Laurent
In this work, several neural architectures were compared using the original image level for the training procedure.
no code implementations • 31 May 2018 • M. Dian. Bah, Adel Hafiane, Raphael Canals
In modern agriculture, usually weeds control consists in spraying herbicides all over the agricultural field.
no code implementations • 15 May 2018 • Mohammad Alkhatib, Adel Hafiane
The proposed method has been evaluated on popular texture datasets for classification and retrieval tasks, and under different high noise conditions.
no code implementations • 19 Jun 2017 • Adel Hafiane, Pierre Vieyres, Alain Delbos
The proposed method is based on two phases, localisation and segmentation.