Prediction and Analysis of Plant-Leaf Disease in Agricultural by using Image Processing and Machine Learning Techniques

India is a region for agriculture. Currently, India is the second highest manufacturer of agriculture worldwide. Throughout the meantime, a modern definition of smart agriculture has been developed, which regulates and tracks farm conditions utilizing the own operating systems. In agriculture Fungal or fungal-like species are the cause of plant diseases around 85 per cent in the world. However, viral and bacterial species cause many harmful diseases in grain and feed crops. Some microbes inflict herbal illness, too. Some vegetable conditions are categorized as "biotic" or as non-infectious diseases, which in involve air pollution injury, nutritional deficiencies or toxicities. In this study we implemented a machine learning approach like Multi-layer feed-forward neural networks and image processing techniques to predict plant leaf disease causes of agriculture field.