Image Recognition System for Paddy Leaf Diseases in Sri Lanka

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dc.contributor.authorPerera, K.K.C.
dc.contributor.authorRajapaksha, R.W.V.P.C.
dc.date.accessioned2022-02-24T06:53:16Z
dc.date.available2022-02-24T06:53:16Z
dc.date.issued2013
dc.description.abstractPaddy is the major economic crop in Sri Lanka There are mainly two seasons for paddy cultivation calls Yalaand Maha. Paddy diseases pose a major threat to rice production in Sri Lanka because of millions of rupees in direct loses and loses related to use of control measures. Ever since humans started farming, diseases have been one of the major obstacles in maximizing production. There are numerous diseases of rice such as fungi, bacteria, viruses and nematode. If we can identify these diseases in primary ages, it will give an additional advantage to prevent the diseases and to minimize the spread of them. There are mainly three paddy leaf diseases in Sri Lanka that spread speedily. Those diseases are Rice Blast (Magnaporthegrisia), Rice sheath blight (Rhisoctonisolani) and Brown spot (Cochiobolusmiyabeanus). Methodology After giving chance to upload images of infected paddy leaves in the field, first the selected image needs to be digitized. Then separate the plant leaf from its background and its known as segmentation. For second step of the process, the infected spots in the space that represent the common color (reddish brown) for all three diseases need to be calculated. Then the ratio of surface area of spots over surface area of leaf is calculated(Gliverer,et al., 2001). Finally that function compares the ratio value with given conditions and identify the disease.en_US
dc.identifier.urihttp://www.erepo.lib.uwu.ac.lk/bitstream/handle/123456789/8437/17-CST-Image%20Recognition%20System%20for%20Paddy%20Leaf%20Diseases%20in%20Sri%20Lanka%20.pdf?sequence=1&isAllowed=y
dc.language.isoenen_US
dc.publisherUva Wellassa University of Sri Lankaen_US
dc.subjectAgricultureen_US
dc.subjectExport Agricultureen_US
dc.subjectComputer Scienceen_US
dc.subjectScience and Technologyen_US
dc.subjectTechnologyen_US
dc.titleImage Recognition System for Paddy Leaf Diseases in Sri Lankaen_US
dc.title.alternativeResearch Symposium 2013en_US
dc.typeOtheren_US
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