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Semantic Segmentation of Weeds and Crops in Multispectral Images by Using a Convolutional Neural Networks Based on U-Net

Chicchón Apaza, Miguel Ángel; Bedón Monzón, Héctor Manuel (Springer, 2020)

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A first step in the process of automating weed removal in precision agriculture is the semantic segmentation of crops, weeds and soil. Deep learning techniques based on convolutional neural networks are successfully applied ...