Browsing by Author "Adu-Sarkodee, Emmanuel Nkunim"

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    Skaïgreen: An aerial drone and deep learning project for the counting and nitrogen deficiency detection of coconut trees
    (2023-05) Adu-Sarkodee, Emmanuel Nkunim; Eshun, Michael Kwame
    This capstone project involved the implementation of a drone system to obtain an aerial view of a coconut farm, with the goal of using deep learning models to detect and count coconut plants, as well as identify nitrogen-deficient plants. The YOLOv5 algorithm was used for object detection, with a unique ID assigned to each plant for counting. A VGGNet convolutional neural network was trained on a dataset of labeled coconut plant images to classify plants as "healthy" or "unhealthy". The results of the project included an automated drone system that could fly and capture footage with a single click, allowing for efficient counting of coconut plants and detection of nitrogen-deficient plants.