Leaf Diseases Detection for Commercial Cultivation of Obsolete Fruit in Bangladesh Using Image Processing System

Abstract

Bangladesh is country of seasons. Naturally the people of Bangladesh are blessed with various native seasonal fruits to fulfill their needs and appetites. So, hundreds of local fruits are cultivated through the yearlong by the local farmers. But in recent times some obsolete fruits like apple, blueberry, cherry, grape, orange, peach, raspberry, strawberry etc. are getting popularity amongst local consumers of Bangladesh and that is the reason why local farmers are now contemplating towards the commercial cultivation of these obsolete fruits. But there are too many obstacles in that process of commercial cultivation including weather demand, quality of soil, cultivation technology, diseases, insects attack etc. Most of the time diseases of these fruits notice our eyes when fruits are attacked and we cannot help but let the fruits get rotten and suffer the financial loss too. Even though we might not handle every barrier, but we can use deep learning and image processing technology for the detection of diseases of these fruits and help the farmers taking necessary steps on time. To simplify the work, we have taken the images of these obsolete fruits leaves and implemented image processing algorithm and deep learning methods on them. After the completion of this research we have accomplished an accuracy of 92.56%. This research is going to help the farmers to cultivate and promote these obsolete fruits more in a broaden way by reducing the diseases. It is an eco-friendly system which detects diseases without much effort only by clicking attacked images and putting that in the system and the system will give an output of which disease the plant is attacked by.