Detecting nutrients deficiencies of oil palm trees using remotely sensed data

Oil palm plantation management involve crucial role for the farmers. The remote sensing imagery has widely used nowadays in order to monitor oil palm tree in plantation. To pact with the problem, the use of vegetation indices analysis on satellite image on plantation will examine the ability of spectral data in determining the greenness of the trees. Vegetation Indices are used for estimating the crops and vegetation variables by using visible and near-infrared region (NIR) from the electromagnetic spectrum. The healthy tree will display very low reflectance and transmitted in visible region and very high reflectance transmitted in NIR. The chlorophyll absorption in reflectance and normalizes pigment chlorophyll vegetation indexes will show a loss of chlorophyll pigment compared to healthy oil palm trees. Besides, pH. value and soil nutrient will be examined to determine their effect towards the trees. In addition, the laboratory test sample is done to analyse the pH. value and major nutrient status of nitrogen (N), phosphorus (P) and potassium (K) together with their relationship with the remotely sensed data.