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20202025
most citedA comprehensive review of 3D convolutional neural network-based classification techniques of diseased and defective crops using non-UAV-based hyperspectral images

40 citations · 93 across the 9 of their papers we have counts for

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cs.CV2021★ 9 cited

Presenting an extensive lab- and field-image dataset of crops and weeds for computer vision tasks in agriculture

Michael A. Beck, Chen-Yi Liu, Christopher P. Bidinosti +3

We present two large datasets of labelled plant-images that are suited towards the training of machine learning and computer vision models. The first dataset encompasses as the day…