Litchi Leaf Disease Recognition by Using Image Processing

Abstract

Bangladesh is an agriculture-based country. Most of the people are depends on agriculture. Our Bangladeshi economy also extensively depend on agriculture. In this term of condition this is become very important to grow our crops and fruits we need to increase their yields. In spite of being drastic and change able climate condition Bangladeshi people and farmers are fighting to grow their crops and fruits in critical way. As an agricultural country Bangladeshi people love fruits, but this is matter of sorrow that our fruits quality and quantity are decreasing for various disease. People of our country are finding many new rare diseases of our local fruits but we are failed to recognize these rare disease and quantity of this problem raised day by day. So a proper treatment or recovery is needed against this problem. As a Bangladeshi people, this is very challenging problem for us to detect this uncommon disease and need classification of these problems. As we are living in an era of technology so obviously technology can play vital role to recognize these diseases. As growing a good plant is depending on plant’s leaf so at first this is very important to recognized leaf disease. As a result, we can keep the leaves disease free and fruits also will be being disease free. In our research we are working to recognize leaf diseases. In Bangladesh Litchi is the most popular fruit so we are very interested to work for litchi leaf disease. Hence, we can take part in our Bangladeshi economy by keeping our litchi fruit disease free. For ensuring the freshness of leaves, we work with modern image processing tools that can help us a lot. It is so tough to detect all leaves disease by observing them with eye. Our technology comes with a modern technique named Image Processing. For this purpose, we are using Machine Vision Based Image Processing & CNN (Convolutional Neural Network) Algorithm