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Found 8 papers, 0 papers with code
Fusion of Satellite Images and Weather Data with Transformer Networks for Downy Mildew Disease Detection
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.
Generative models-based data labeling for deep networks regression: application to seed maturity estimation from UAV multispectral images
Traditional methods are based on limited sampling in the field and analysis in laboratory.
Vision Transformers For Weeds and Crops Classification Of High Resolution UAV Images
Crop and weed monitoring is an important challenge for agriculture and food production nowadays.
VddNet: Vine Disease Detection Network Based on Multispectral Images and Depth Map
The second one is a new deep learning architecture called VddNet (Vine Disease Detection Network).
Image and Video Processing
A deep learning based multiscale approach to segment cancer area in liver whole slide image
In this work, several neural architectures were compared using the original image level for the training procedure.
Deep Learning with unsupervised data labeling for weeds detection on UAV images
In modern agriculture, usually weeds control consists in spraying herbicides all over the agricultural field.
Robust Adaptive Median Binary Pattern for noisy texture classification and retrieval
The proposed method has been evaluated on popular texture datasets for classification and retrieval tasks, and under different high noise conditions.
Deep learning with spatiotemporal consistency for nerve segmentation in ultrasound images
The proposed method is based on two phases, localisation and segmentation.
