Hyperspectral vision methods for automatic recognition of emergency plant pests
The objective of this research work is to develop the computational techniques in computer vision and machine learning to detect and identify Emergency Plant Pests (EPPs) in hyperspectral images and the ability to apply in a real-time basis for the plant biosecurity surveillance application. There are three problems that will be addressed regarding hyperspectral imagery classification for EPPs; feature extraction, object detection and classification problems. Therefore, the development of...[Show more]
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