• DISEASE AND PEST DETECTION IN VARIOUS LEAF IMAGES USING IF SET OSCILLATION

T. LAVANYA, DR. D. AMSAVENI, P. AMSINI, DR. R. UMARANI

Abstract


This paper presents early detection of pest and disease region by using IF set oscillation. The task of automated method is applied to early detection of pest and diseases in various leaves assists to improve the economic level of agriculture growth and reduce the pesticides usages. The greenhouse staffs are very difficult to monitor the plant disease and pest through manually. Hence, Digital Image Processing acts an important role to identify the pest and disease from various leaf images. This proposed work consists various level such as image acquisition, preprocessing and IF set oscillation based segmentation. This process reduces the manual work.


Keywords


IF (Intuitionistic Fuzzy set) oscillation, segmentation, Digital Image Processing.

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