International Journal of Innovative Research in                 Electrical, Electronics, Instrumentation and Control Engineering

A monthly peer-reviewed online and print journal

ISSN Online 2321-2004
ISSN Print 2321-5526

Since  2013

Abstract: Malaysia is the second largest palm oil producer in the world but ironically, the overall production of the palm oil is declining versus planned growth trajectory. One of the factors affecting the exponential growth of the palm oil estate is fungal or bacterial infection. One of the major diseases that infected palm oil tree is Ganoderma Boninense that which known as Basal Stem Rot (BSR). A fast, accurate, wide-coverage and non-destructive method for detection of infected oil palm tree is required. Therefore, low-cost unmanned aircraft for detection of the health status of palm tree plantation was implemented and image processing of the data collected from the low-cost unmanned aircraft system was processed for oil palm tree health status. MATLAB based detection was implemented. Convolutional Neural Network (CNN) and few image processing techniques were introduced in this project.

Keywords: Basal Stem Rot (BSR), Unmanned Aircraft System (UAS), Convolutional Neural Network (CNN), detection


PDF | DOI: 10.17148/IJIREEICE.2021.91103

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