Leaf Disease Detection Using Image Processing Technique and IoT
T.Poornima
, Dr. T. Gayathri
Leaf Disease, Image Processing, K-Means Clustering, Arduino, Wi-Fi Module, Think Speak.
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.
"Leaf Disease Detection Using Image Processing Technique and IoT", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.6, Issue 6, page no.105 - 112, June-2021, Available :https://ijsdr.org/papers/IJSDR2106015.pdf
Volume 6
Issue 6,
June-2021
Pages : 105 - 112
Paper Reg. ID: IJSDR_193394
Published Paper Id: IJSDR2106015
Downloads: 000347044
Research Area: Engineering
Country: Coimbatore, Tamilnadu, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
