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Image Processing: A Methodology to Detect Plant Diseases

Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.8, No. 4)

Publication Date:

Authors : ; ; ;

Page : 209-216

Keywords : Image segmentation technique;

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Agricultural productivity is something on which Economy highly depends. This is the one reason that sickness recognition in plants assumes a vital job in horticulture field, as having illness in plants are very normal. On the off chance that appropriate consideration isn't taken around there, at that point it causes genuine impacts on plants and because of which separate item quality, amount or profitability is influenced. For example a sickness named little leaf ailment is a dangerous ailment found in pine trees in United States. Recognition of plant infection through some programmed strategy is helpful as it lessens a substantial work of observing in huge homesteads of yields, and at all around beginning period itself it recognizes the side effects of maladies for example when they show up on plant leaves. This paper introduces a calculation for picture division strategy which is utilized for programmed identification and order of plant leaf ailments .It likewise covers review on various illnesses grouping methods that can be utilized for plant leaf sickness discovery. Image segmentation, which is an important aspect for disease detection in plant leaf disease, is done by using K-means algorithm.

Last modified: 2019-05-07 20:27:15