Citation

Lee, Chee Cheong and Koo, Voon Chet and Lim, Tien Sze (2021) Oil Palm Tree Counting and Disease Detection. In: 2nd FET PG Engineering Colloquium Proceedings 2021, 1-15 Dec. 2021, Online Conference. (Unpublished)

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Abstract

This work proposed a neural network framework in tree counting and disease detection. There are two datasets, one for tree counting, captured using high resolution RGB camera. On the other hand, hyperspectral image (HSI) for disease detection. Proposed framework has two major parts. We use Convolutional Neural Network (CNN) for tree detection.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Basel Stem Rot, Early-Stage Detection, Convolutional Neural Network, Multilayer Perceptron
Subjects:	Q Science > QP Physiology > QP351 Neurophysiology and Neuropsychology
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	26 Jan 2022 01:31
Last Modified:	26 Jan 2022 01:31
URII:	http://shdl.mmu.edu.my/id/eprint/9885

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