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Fusion of Satellite Images and Weather Data with Transformer Networks for Downy Mildew Disease Detection. (arXiv:2209.02797v1 [cs.CV])
cs.CV updates on arXiv.org arxiv.org
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 pesticides, weather and remote sensing data with deep
learning can play a pivotal role in detecting crop diseases, allowing localized
treatment of crops. However, combining heterogeneous data such as weather and
images remains a hot topic and challenging task. Recent developments in
transformer architectures have shown the possibility of fusion of …
arxiv data detection disease fusion images networks satellite satellite images transformer weather