DefinePK

Abstract

In this work, we explain a framework for early detection of diseases in rice crops from visual symptoms. We target rice crops owing to their extensive use in the Indian subcontinent. Existing literature lists several algorithms that can be used in detection, classification, and quantification of crop diseases by analysis images. However, the evaluation process is tedious, time consuming and more over very much subjective. Infrastructure for image acquisition, communication, and processing is lacking in rural areas owing to lesser technological penetration. In this work, we develop a user-friendly IoT reference architecture to provide on-field disease detection and prediction using cloud analytics.