Search Results for author: Dimitris Zermas

Found 1 papers, 0 papers with code

Identification of Abnormality in Maize Plants From UAV Images Using Deep Learning Approaches

no code implementations20 Oct 2023 Aminul Huq, Dimitris Zermas, George Bebis

Using deep learning techniques, we have developed a methodology which can detect different levels of abnormality (i. e., low, medium, high or no abnormality) in maize plants independently of their growth stage.

Anomaly Detection

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