The Reliability Of Normalised Difference Vegetation Index (NDVI) To Indicate Health Condition From Vegetative Measurement And Nutrient Content Of Mature Oil Palm Trees For Precision Agriculture

This paper discusses the use of Sentinel-2 derived NDVI to detect the health condition of mature oil palm trees, which can help plantation management to increase productivity and meet the increasing global demand for palm oil. The study was conducted in Negeri Sembilan, Malaysia, and involved the classification of NDVI into five classes, which were used as reference to conduct vegetative measurements and nutrient content analysis on the selected palms. The result shows that only three vegetative measurement parameters which are RL, RLA and TLA are showing differentiation in their value which potentially can be used as health indicators for mature oil palm trees when combined with NDVI. Additionally, the classification of NDVI has the potential to differentiate between performing and non-performing palms in terms of vegetative growth and nutrient content, particularly in the N and K regions.