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International Journal of Scientific Development and Research - IJSDR
(An International Open Access Journal)
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2455-2631


Issue: November 2021

Volume 6 | Issue 11

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Paper Title: ORYZA: AN IOT APPLICATION TO DETECT RICE CROP DISEASES USES IMAGE PROCESSING
Authors Name: JYOTHI MAADUGUNDU , AJAY KUMAR , SIRISHA
Unique Id: IJSDR1912041
Published In: Volume 4 Issue 12, December-2019
Abstract: Being an agricultural country, most of the people of Bangladesh are dependent on agriculture directly or indirectly. It is the fourth largest rice producing country in the world. Main hindrance in rice production is paddy diseases. So in this research the main objective is to develop a prototype system for detecting the paddy diseases, which are Paddy Blast, Brown Spot and Narrow Brown Spot diseases. This concentrate on the image processing techniques used to find pattern in the image and artificial neural network technique to classify the diseases. The methodology involves image collection, image processing, feature extraction and classification. Features are extracted from the images using Haralick’s texture feature from color co-occurrence matrix. Then an artificial neural network is trained by these features and a trained model is found. In testing phase, all paddy samples are passed through the leaf color analysis to detect the normal paddy leaf image. If the sample passes leaf color analysis, then it is automatically classified as Normal Paddy leaf image. Otherwise, all the segmented paddy disease samples are converted into the features data and are passed through the artificial neural network. Consequently, by employing the artificial neural network technique, the paddy diseases are recognized. The accuracy to detect diseases of this model is good enough to use in practical life.
Keywords: Internet of Things, Image Processing, Rice crop disease detection, Haralick’s texture feature matrix
Cite Article: "ORYZA: AN IOT APPLICATION TO DETECT RICE CROP DISEASES USES IMAGE PROCESSING", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.4, Issue 12, page no.190 - 197, December-2019, Available :http://www.ijsdr.org/papers/IJSDR1912041.pdf
Downloads: 00060115
Publication Details: Published Paper ID: IJSDR1912041
Registration ID:191192
Published In: Volume 4 Issue 12, December-2019
DOI (Digital Object Identifier):
Page No: 190 - 197
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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