Deep Learning Based Approach for Plant Leaf Disease Detection for Smart Farming

Abstract

An emerging concept in farming, Smart farming, refers to farming technique using technologies like AI, cloud computing. IoT, drones and robotics. Smart farming totally changes the way agriculture is thought of, helping increase quality and quantity of food products. It also helps optimize the human labor required for production. With the ever increasing population and ever increasing demand for food production, it becomes very much essential to save even a morsel of food. In such a scenario, it is very much required to ensure that the crops are healthy and devoid of any diseases. Plant diseases can reduce the availability of food; it can even destroy the entire crop field affecting the yield. The age old scheme of plant disease detection through bare eye observation by experts requires a large team of experts and continuous monitoring of plants that incurs huge costs with large farms. In this paper, a model based on deep learning has been proposed that is able to classify a plant as healthy or diseased based on the prediction made on the leaf condition with a very high accuracy.