Modelling Plant Stress in Mature Oil Palm for Basal Stem Rot Disease Severity with Water Use Efficiency and Hyperspectral Data

Abstract

The Basal Stem Rot (BSR) disease brought by the Ganoderma Boninense pathogen is regarded as a huge killer for oil palm producers' countries, particularly Malaysia and Indonesia oil palm plantations. Various methods are being deployed for assessment of the disease, especially in the early phase however not yield satisfactory results. Therefore, this research study tends to predict plant stress affected by BSR disease infection with plant physiology variables specific to water use efficiency (WUE) with hyperspectral data in oil palm to provide a better assessment of BSR disease The objective of this research is to develop a new model in plant stress with WUE variable and hyperspectral data in oil palm tree. Second, to assess mapping for estimation of oil palm trees in plantation. Based on the result obtained, 4 models established show a significant result based on training and validation samples in RMSE, and regression plot values were sorted by rank (Model 1, Model 2, Model 4, and Model 3). In mapping analysis, it highlighted the distance between affected oil palm trees might influence the WUE estimation and the addition of hyperspectral data improved the visualization in the map generated from the model