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INTERNATIONAL JOURNAL OF INNOVATIONS IN APPLIED SCIENCES & ENGINEERINGInternational Peer Reviewed (Refereed), Open Access Research Journal (By Aryavart International University, India) E-ISSN:2454-9258 | P-ISSN:2454-809X | Estd Year: 2015 Impact Factor(2020): 4.805 | Impact Factor(2021): 5.246 |
Diksha Gulati
Vol. 3, Jan-Dec 2017
Page Number: 086-089
Abstract:
Plants productivity will be reduced due to the presence of diseases. Automatic detection of diseases on plant leaves is an important research topic which proves the benefits by identification of diseases through machine vision. This paper presents the study of various image processing techniques in identification of diseases on plants through leaf images. Image processing involves capturing the leaf images and pre-processing is done to improve the quality of the acquired images. Segmentation is applied to differentiate the disease affected region from the normal one. Various features are extracted from the segmented region and are fed in to the classifiers to identify the type of disease affected on the leaves Including magnetic resistance to 15,000 gauss, a master chronometer rating, co-axial escapement, and a free sprung-balance replica rolex with silicon balance spring.