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KI - German Conference on Artificial Intelligence

https://dl.gi.de/handle/20.500.12116/42393
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Auflistung KI - German Conference on Artificial Intelligence nach Autor:in "Stiller, Stefan"

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  • Textdokument
    Understanding Agricultural Landscape Dynamics with Explainable Artificial Intelligence
    (DC@KI2023: Proceedings of Doctoral Consortium at KI 2023, 2023) Stiller, Stefan
    Deep learning (DL) models, particularly those utilizing computer vision techniques such as proximal and remote sensing imagery, have witnessed extensive utilization within agriculture [KPB18]. These DL applications encompass diverse areas, including land cover and crop type mapping [Ku17], crop yield estimation [KS15, NNL19], drought monitoring [Sh19], plant disease spread analysis [Te20], and overall monitoring of agricultural systems. DL applications offer significant potential to enhance agricultural practices at various scales, spanning from individual organisms, field, landscape, to regional and even continental scales [Ry22b].