DETECTION AND CLASSIFICATION OF PLANT LEAF DISEASES
An Android application that gives users the ability to identify plant species based on photographs of the plant’s leaves taken with a mobile phone using an algorithm that acquires morphological features of the leaves, computes well documented metrics such as the angle code histogram (ACH), then classifies the species based on a novel combination of the computed metrics.
Abstract
-Medicinal plants used very much in herbalism to study the medicinal properties of the plants. The applications of Near-Infrared Spectroscopy (NIRS) have expanded widely in the field of agriculture, plants and various other fields, but the usage for identification of plant variety is still rare.In this project we describe the development of an Android application that gives users the ability to identify plant species based on photographs of the plant’s leaves taken with a mobile phone. At the heart of this application is an algorithm that acquires morphological features of the leaves, computes well documented metrics such as the angle code histogram (ACH), then classifies the species based on a novel combination of the computed metrics. The algorithm is first trained against several samples of known plant species and then used to classify unknown query species. Aided by features designed into the application such as touch screen image rotation and contour preview, the algorithm is very successful in properly classifying species contained in the training library .