Weed detection in grassland and field areas employing rgb imagery with a deep learning algorithm using rumex obtusifolius plants as a case study “2279

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Ecsa-9-13950 The aim of this study was to train a convolutional neural_network (CNN) to achieve a high recognition rate of R. obtusifolius plants at different developmental stages and their position in a conventional pasture using a conventional RGB camera. The aim of this study was to train a convolutional neural_network (CNN) to achieve a high recognition rate of R. obtusifolius plants at different developmental stages and their position in a conventional pasture using a conventional RGB camera. A total of 2500 images R. images. obtusifolius plantsimages were were processed and made500 available . . .

 



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