Search Results for author:
Found 2 papers, 2 papers with code
Crop mapping from image time series: deep learning with multi-scale label hierarchies
The three-level label hierarchy is encoded in a convolutional, recurrent neural network (convRNN), such that for each pixel the model predicts three labels at different level of granularity.
weedNet: Dense Semantic Weed Classification Using Multispectral Images and MAV for Smart Farming
In this paper, we present an approach for dense semantic weed classification with multispectral images collected by a micro aerial vehicle (MAV).
Cannot find the paper you are looking for? You can
Submit a new open access paper.
