Dia Identification and Grading of Pomegranate Leaves Using Image Processing and Fuzzy Logic 期刊名称： International Journal of Food Engineering
作者： Sanjeev S. Sannakki,Vijay S. Rajpurohit,V. B. Nargund,R. Arunkumar
作者机构： Department of Plant Pathology, University of Agricultural Sciences,
Dharwad, Karnataka, India
年份： 2013年
童年的馒头期号： 第4期
舞蹈艺术照关键词： plant pathology;color image gmentation;dia spots
extraction;feature extraction;fuzzy logic;dia identification;dia
grading;treatment advisory
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吉他怎么选择摘要：Plant dias cau major loss to veral agricultural and horticultural crops around the World. Therefore, methods for proper diagnosis of dias
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可爱的恶女found in any parts of the plant body play a crucial role in dia management. In
the past few decades, many methods and techniques of image processing and soft computing are applied on a number of plants to diagno and treat variety of plant dias. Hence, the prent work is aimed to develop an automated system that results in three major outcomes for a leaf image. They are dia identification, dia grading and treatment advisory. The methodology begins with capturing of samples of healthy and diad leaf images of Pomegranate plant. All the images are made to undergo pre-processing steps and different features are extracted and stored in the databa. Analysis is
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