Android Based Ripening Stage Identification for Peppercorns

Abstract

India is an agricultural country with over 58% of income is earned through agro-based environment. Out of all, the major crop produced in India is Black pepper. The production of black pepper has played a very important role in enhancing the economic growth of our country. To help in enhancing the production and the export of black pepper from India, this study proposes a method to detect the ripening stages of peppercorns. An android application is developed to predict the maturity and ripeness of the peppercorns. This will help the cultivators to produce peppercorns as per the global market requirement. The pepper images, representing various stages of maturity are collected from various agricultural resources. These images are trained and classified by extracting, the color features like RGB value. The training and classification is done using Support Vector Machine Algorithm. SVM classifies the images into three classes. The images in these classes are used as the dataset to further identify the maturity or ripen stage of the peppercorns in the input image captured by the android application.