Published Paper Details:

India is an agricultural country. 70% of Indian economy depends on agriculture but leaf infection phenomena cause the loss of major crops which results in economic loss. Modern technologies have given human society the ability to produce enough food to meet the demand of more than 7 billion people. However, food security remains threatened by a number of factors including climate change, the decline in pollinators, plant diseases, and others. Plant diseases have turned into a dilemma as it can cause significant reduction in both quality and quantity of agricultural products. Automatic detection of plant diseases is an essential research topic as it may prove benefits in monitoring large field of crops, and thus automatically detect the symptoms of diseases as soon as they appear on plant leaves. The proposed system is a software solution for automatic detection and classification of tomato plant leaf diseases. To achieve this, CNN based automatic detection of disease is carried out using Village plant dataset and the accuracy if the model is found to be 98.68%.