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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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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: | 000337070 |
| 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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