Optimizing crop classification in precision agriculture using AlexNet and high resolution UAV imagery

The rapid advancement of artificial intelligence (AI), coupled with the utilization of aerial images from Unmanned Aerial Vehicles (UAVs), presents a significant opportunity to enhance precision agriculture for crop classification. This is vital to meet the rising global food demand. In this study,...

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Autors principals:	Oluibukun Gbenga Ajayi, Elisha Iwendi, Oluwatobi Olalekan Adetunji
Format:	Artigo
Idioma:	Inglês
Publicat:	Maximum Academic Press 2024-01-01
Col·lecció:	Technology in Agronomy
Matèries:	deep learning convolutional neural networks precision agriculture crop classification alexnet uav imagery
Accés en línia:	https://www.maxapress.com/article/doi/10.48130/tia-0024-0009
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