Smart Plant Disease Diagnosis and Interpretation Methods

With the rise in population the requirements of food is also getting higher in India and so it’s a necessity to have a much greater yield to satisfy the required need. The major issues which stand as an obstacle in achieving the required goal is the impact of bacteria fungi and viruses which lead to low crop yield. By detecting the diseases which impact on the yield we present an alliance of artificial intelligence based machine learning as well as deep learning techniques. Computer vision as well as machine learning have become much advanced with coherence of deep learning which further improves the performance results. Our study is done in comparison between different techniques and its performance is judged thus for the usefulness of methods. The need can be fulfilled by helping the farmers in detecting the diseases beforehand by utilizing captured images and analyzing them by using deep learning algorithms.