Abstract

Abstract Productivity in agriculture is highly economic dependent. This is one of the reasons why the diagnosis in agriculture of plant diseases is important because plant disease is very natural. If proper care is not taken in this area, the impact on plants and the quality, quantity or productivity of their products will be serious. For instance, in pine trees in the United States, a small leaf disease is a dangerous disease. It is helpful to diagnose plant disease with any automated procedure, as it decreases the widespread surveillance of farm sites, and detects the signs of diseases very early, that is when they arise on leaves of plant. A segmentation algorithm used to automatically detect or classify plant leaf diseases is presented in this article. This article. It also includes surveys of the various methods used to classify diseases to detect plant leaf diseases. A genetic algorithm is used to segment the picture which is important for the identification of disease in leaf disease.

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