Title: Classification of fungal diseases in plant based on deep learning techniques

Abstract

India has a wide range of agricultural and ecological varieties. India is the leading producer of milk, pulses, jute, rice, wheat, sugarcane, vegetables, fruits, and cotton. The average yield of many Indian crops is inferior. Plant diseases are one of the significant causes of the low yield of crops. These diseases are caused by micro-organisms such as bacteria, viruses and fungi. This article reveals the research findings of the classification of fungi-affected diseases of popular fruit plants such as Apple, Custard Apple and Guava based on their camera-captured (14,412 images) and microscopic images (602 images). Besides, it calculates the infected area of the leaf for further processing. The experimental results are exciting and highly encouraging to justify as state-of-the-art results, i.e. 97.52%.