Abstract

One of major issue nowadays is the agricultural productivity which is something our Nation’s economy highly depends. Technology based advancements may lead to detection of diseases in plants which are quite natural. Care should be taken in this area before it causes serious effects on plants which mainly affect the product quality, quantity or productivity. Early stage detection of diseases in plants through some automatic technique is beneficial as it reduces a huge work of monitoring in large acres of crops. When they appear on plant leaves, earlier detection helps us to increase the yield and productivity. This paper presents an algorithm for image processing technique which is used for automatic detection and classification of plant leaf diseases with the help of raspberry pi and sensors. This survey is about different diseases and its classification, techniques which are used for plant leaf disease detection and also its respective fertilizer sprayed on the leaves.

Highlights

  • Most of the leaf diseases seen on the plant leaves will have visually recognizable shapes

  • An automatic system based on Computer vision technique can be used to classify, recognize and detect plant leaf disease which affects the crops in agriculture fields

  • Automatic leaf disease detection[3] is the main topic for agriculture research because it can manage the monitoring of large agriculture crop fields automatically and detects the disease from the plant leaves

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Summary

INTRODUCTION

It is very essential to recognize the disease for the anticipation of losses. The diagnoses of leaf diseases in plants are inadequate due to human visual capability [2] This diagnosis method is time consuming and monotonous. An automatic system based on Computer vision technique can be used to classify, recognize and detect plant leaf disease which affects the crops in agriculture fields. Automatic leaf disease detection[3] is the main topic for agriculture research because it can manage the monitoring of large agriculture crop fields automatically and detects the disease from the plant leaves. These automatic systems give the conveniences of capturing, storing, compressing and processing the images which are collected from agriculture fields

LITERATURE SURVEY
OPEN CV
RELAY AND MOTOR DRIVER
ULTRASONIC SENSOR
RASPBERRY PI
Findings
CONCLUSION
Full Text
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