I- Introduction

II- Plant Disease Fundamental

III- Related Work

IV- Proposed System

V- Results and Discussion

References

Abstract

Agriculture has become far more than simply a method to feed ever growing populations. It’s important wherever in additional than seventieth population of an Asian country is depends on agriculture. Which means it feeds nice range of individuals. The foremost necessary consider less amount crop of quality because of disease. Detecting disease may be a key to stop agricultural losses. The aim of this project is to develop a software system answer that Mechanically find and classify disease. The step like loading an image, preProcessing, Segmentation, extraction and classification are involves illness detection. The leaves pictures are used for detecting the plant diseases. Therefore use of image process technique to find and classify diseases in agricultural applications is useful.

INTRODUCTION

AGRICULTURE is a backbone of our country. Farmers have good selection of crops for his or her farm. Anyway, the crops cultivation for maximum profit and standard manufacture is usually scientific. This might be developed by the help of technical assist. The supervision that continually recurring crops needs supreme power especially for the disease management that may have a result on factors of production significantly to make an economic profit. The process of image is the most excellent technique that having a paid job in agricultural application functions. Detect illness from picture of plants[1-4].This effect can be mitigated with the Aid for agricultural development Most of the primary symptoms are microscopic, so the identification disease of is restricted by human visual capabilities. This method is uninteresting, time intense. There’s need for style system that mechanically acknowledges, classifies and quantitatively detects disease symptoms.