Detection of Banana Leaf and Fruit Diseases Using Neural Networks

摘要

In India, about 70% of the population depends on the agricultural production. Whereas, the agricultural plants and leaves are infected by some diseases by means of the insects which passes the diseases from one plant to the another plant. Meanwhile, these infected diseases can reduce the production yield in the agricultural farm. Hence it is required to detect the diseases in the leaves and fruits at the earlier stage. Therefore, the detection of diseases in the banana plant becoming in the challenging in the agriculture field. The diseases detection and classification of banana plant using image processing is the effective and an important thing to the farmers analyses the growth of the plant effectively and automatically with minimum cost. Therefore, proposed a system that detect diseases at earlier stage by using image processing and classify the diseases by ANN algorithm. The proposed system involve s several steps, image acquisition, image pre-processing, feature extraction and diseases detection and artificial neural network based diseases classification.