Drone Spray For Stem Base Rot Disease Detection In Oil Palm Plants

Early detection of stem base rot disease in oil palm is a considerable challenge in plantation management, given that the early symptoms of the disease are difficult to identify visually. This research develops a drone-based detection system using the Pi NoIR V2 camera and NIR image analysis, supported by the Mamdani fuzzy method for data interpretation. The dataset consists of 70 oil palm trees selected based on the variation of image conditions captured by the camera, the data taken for analysis at a height of 50 meters above the ground to produce a precise image. This research fills a gap in the automatic detection of stem base rot disease, with novelty in the integration of drone technology, NIR analysis, and fuzzy logic. NDVI and reflectance analysis of the captured images enabled classification of tree health, with results showing the difference between healthy and disease-indicated trees.