International Journal of Scientific Development and Research - IJSDR
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Issue: July 2021

Volume 6 | Issue 7

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Paper Title: Leaf Disease Detection Using Image Processing Technique and IoT
Authors Name: T.Poornima , Dr. T. Gayathri
Unique Id: IJSDR2106015
Published In: Volume 6 Issue 6, June-2021
Abstract: The agricultural sector is the backbone of our country, because 90% of the population depends on crop production. In this article, we discussed the use of image processing techniques to detect leaf diseases. For image analysis, the kmeans clustering algorithm is used. The main objective of this paper is to identify the disease affected area of the leaf at the earlier stage and to prevent the larger farms. In agricultural research, leaf disease detection is a necessary and important topic, because it has the advantage of monitoring crop forms in the field, so the disease symptoms can be automatically detected by this method. This article provides the best way to detect the percentage of leaf affected by disease and provides the information to the farmers at early stage through the IoT system. In this article, we have done this process for paddy and sugarcane leaves simultaneously, and the percentage of affected areas are identified. It will reduce the cost of pesticides and other products. This will lead to an increase in agricultural productivity.
Keywords: Leaf Disease, Image Processing, K-Means Clustering, Arduino, Wi-Fi Module, Think Speak.
Cite Article: "Leaf Disease Detection Using Image Processing Technique and IoT", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.6, Issue 6, page no.105 - 112, June-2021, Available :http://www.ijsdr.org/papers/IJSDR2106015.pdf
Downloads: 00025283
Publication Details: Published Paper ID: IJSDR2106015
Registration ID:193394
Published In: Volume 6 Issue 6, June-2021
DOI (Digital Object Identifier):
Page No: 105 - 112
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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