DETECTION OF PLANT LEAF DISEASE USING IMAGE PROCESSING APPROACH
Image processing, CNN, OpenCV, Detection, Identification of plant leaf disease.
The major causes for the decrease in the quality and quantity of agricultural production is plant diseases. Farmers encounter high difficulties in identifying and controlling plant diseases. Hence, it is of huge importance to diagnose the plant diseases at early stages so that accurate and timely action can be taken by the farmers to avoid future losses. The project focuses on the approach based on image processing using machine learning for identification of plant diseases. In this paper, we would propose an Android application that helps farmers for identifying plant disease by uploading a leaf image to the system. The system has a set of algorithms which can identify the type of disease. The input image given by the user to the system undergoes various processing steps to detect the disease and results are returned back to the user via web or android application.
"DETECTION OF PLANT LEAF DISEASE USING IMAGE PROCESSING APPROACH", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.6, Issue 5, page no.321 - 323, May-2021, Available :https://ijsdr.org/papers/IJSDR2105052.pdf
Volume 6
Issue 5,
May-2021
Pages : 321 - 323
Paper Reg. ID: IJSDR_193334
Published Paper Id: IJSDR2105052
Downloads: 000347278
Research Area: Engineering
Country: Kanchipuram, Tamil Nadu, 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
