Comparative Analysis of Banana Leaf Disease Detection and Classification Methods

Agriculture, along with its related industries, is without a doubt India’s largest source of income. Plant disease is a major concern in agriculture today, as it decreases food production and quality. Plant diseases, that are previously infected, microbes, fungus, roundworms, and nutrient deficiency, inflict significant damage to crops and have the following consequences: lower crop yield and quality. It also kills the plant, reduces the farmer’s profits, and raises the cost of production throughout the control period. The banana is the most important fruit in Pacific and the Asia. The banana plant was susceptible to several ailments, the effects of that can be seen on the leaves. The infections would be Streak Virus, yellow Sigatoka, Panama, Black Sigatoka, and Banana Bunchy Top Virus. As a result, early detection of plant diseases is important. These researches greatly focus on Deep learning algorithms. In this study, huge potential efforts are made to study the complete background of banana disease detection. In the end, this study also highlights a comparison of recent research directions in banana leaf disease detection using various classification methods.