We analyze spectral information for detecting diseases in plants at an early stage. Previously, disease identification has been through use of visible symptoms (agricultural experts) and machine learning and vision techniques based on a leaf image dataset acquired with a camera. Early disease detection is important because it prevents damages by taking early action measures.