The goal of this doctorate is to develop a method to detect and identify weeds in an agricultural context, which will be done with high-resolution RGB and multispectral UAV imagery. An additional goal is to only rely on automatic and unsupervised/self-supervised machine learning models. This doctorate is part of the Europe Horizon project “Agroecology for weeds” (GOOD).
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