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Thesis offer


Open position for a PhD student in the Precision Agriculture research field.

The topic of this proposal is related to "Fruit yield estimation combining photon-based sensors, computer vision and sampling schemes adapted to spatially variable scenarios". The idea is to use photon-based sensors (RGB cameras, photogrammetry, LIDAR, RGB-D sensors) to detect fruits and, combining it with improved sampling techniques, make reliable yield estimates for the farmer. Initially, the research will be focused on apple orchards, where preliminary works have already been performed. Computer vision and machine learning techniques are needed to properly process and interpret field data. In a second stage, sampling methods making use of remote sensing will be applied to develop friendly yield estimation models adapted to spatially variable fruit orchards.

Find more information and apply for this position here.

















Last modified: 23/07/2019
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