A modern approach for plant leaf disease classification which depends on leaf image processing

Agrarian production is that trait on which our nation's economy immensely depends. This is the motivation that recognition of leaves unhealthiness is the solution for saving the reduction of crops and productivity. It requisite enormous amount of work, mastery in the leaf diseases, and additionally need the extreme amount of time. Thus, image processing techniques are applied for the discovering and recognition of plant leaf unhealthiness. Recognition of plant leaf diseases along some automatic method is useful as it decrease a huge effort of observing in large farms, and at initial phase itself it identify the signs of diseases. Plant leaf disease detection and identification includes the stages like image acquisition, image pre-processing, image segmentation, feature extraction and classification. This paper discusses techniques for image pre-processing, image segmentation algorithm used for automatic recognition and research on various plant leaf disease classification algorithms that may be used for leaves disease classification.