Date of Publication :25th April 2018

Abstract: India mainly depends on Agriculture, as 60-75% of Indian population depends on source of Agriculture directly or indirectly. Agriculture plays a very vital role in terms of social and economic aspects of the country. The crop productivity reduces automatically due to disease that may affect the plants, and also may reduce the quality of the crops. This paper includes a detailed survey on plant disease detection from leaf using image processing. The reason for considering leaf as a source for plant disease detection is, studies have shown that the diagnosis of diseased plant can be achieved better from properties of leaf. The better productivity of the crops is achieved if the plants have resistance against various types of diseases, which may be caused due to Bacteria, Virus or Fungi. But due to external factors and internal factors most of the plants are easily prone to get attacked by various diseases easily, resulting in reduced quality and quantity of crops or fruits. Hence detection and diagnosis of the plant disease at the right time helps in proper productivity of crops. Detection can be achieved using various features like color, intensity, region of attack, size, shape, dimensions etc. This paper presents an overview of various techniques using different methods available for plant disease detection.

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