The disease in rice crop reduced the quality and quantity of production and mostly affect in leaf and panicle. The disease affect to the panicle is more severe than the other part of the paddy crop as it directly hampers the production. Detection and grading of rice panicle blast is required as prior condition for rice disease controlling. In this study, a novel detection and grading method for panicle blast based on imaging processing is proposed. The methodology contain some morphological operation like binary indexing, color conversion, channel extraction, Binarization and area calculation.

panicle blast; detection; grading; image processing

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