LEAF DISEASE DETECTION USING MACHINE LEARNING

Abstract

Agriculture provides food to all the human beings even in case of rapid increase in the population.
Easily spreadable diseases can have a strong negative impact on plant yields and even destroy whole crops. It is
recommended to predict plant diseases at their early stage in the field of agriculture. Traditional methods rely on
lab analysis and human expertise which are usually expensive and unavailable in a large part of the undeveloped
world. Since smartphones are becoming increasingly present even in the most rural areas, in recent years
scientists have turned to automated image analysis as a way of identifying crop diseases. The idea behind this
proposed system is to bring awareness amongst the farmers about the cutting-edge technologies to detect
diseases in plant leaves. The approaches of machine learning and image processing with an accurate algorithm is
used to detect the leaf diseases in the plants.