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Date Name Thumbnail Size Description Versions
11:26, 5 February 2018 Bonirob 2016-05-23-10-37-10 0 frame23 GroundTruth color.png (file) 39 KB Ground truth image (nr. 23) of the Sugar Beets 2016 dataset, captured with the agricultural field robot bonirob. Image contains sugar beets (red) and multiple weeds (blue, yellow, orange) 1
10:57, 5 February 2018 Crop-weed-soil comparison.png (file) 17 KB comparison of crop, weed and soil with the metrics of IoU, Precision and Recall. The baseline classifiers RFC and SVM outperform the SegNet neural network architecture on crop, but perform worse on weed and similar on soil. 1
10:55, 5 February 2018 Final Internship Report - Machine Learning for Crop and Weed Classification 1.0.pdf (file) 2.46 MB Academic internship report about crop and weed classification using machine learning. The project was supervised by Matteo Matteucci and carried out by Lodewijk Voorhoeve (Wageningen UR). 1
10:23, 1 September 2017 LodewijkVoorhoeve.jpg (file) 45 KB Me in the Pyrenees (Refuge Rulhe) 1