Effect of Hyperparameter Tuning on the Performance of YOLOv8 for Multi Crop Classification on UAV Images

Effect of Hyperparameter Tuning on the Performance of YOLOv8 for Multi Crop Classification on UAV Images

This study investigates the performance of YOLOv8, a Convolutional Neural Network (CNN) architecture, for multi-crop classification in a mixed farm with Unmanned Aerial Vehicle (UAV) imageries. Emphasizing hyperparameter optimization, specifically batch size, the study’s primary objective is to refi...

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Bibliographic Details
Main Authors: Oluibukun Gbenga Ajayi, Pius Onoja Ibrahim, Oluwadamilare Samuel Adegboyega
Format: Article
Language:English
Published: MDPI AG 2024-06-01
Series:Applied Sciences
Subjects:
precision agriculture
smart farming
convolutional neural network
YOLOv8
hyperparameter
multi-crop classification
Online Access:https://www.mdpi.com/2076-3417/14/13/5708

Internet

https://www.mdpi.com/2076-3417/14/13/5708

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