Implementation of Gray Level Coocurence Matrix on the Leaves of Rice Crops

Lilis Indrayani, Raden Wirawan

Abstract


Paddy is one of the cultivation plants that is very important for human survival, the success of rice harvesting affects the level of farmers ' income. But farmers often suffer losses, as a result of illness in rice. . This research aims to identify diseases that exist in rice plants using the method of Gray Level Coocurence Matrix (GLCM). The GLCM method is a feature extraction method. The disease detection process on the leaves of the rice plants is done by retrieving the original image for the initial step, then the original image is segmented before converting to greyscale imagery. Once it is done extraction feature by using GLCM features namely Entropy, Ecentricity, Contrast, Energy, Correlation, Homogenity. The results showed 90% accuracy results using GLCM extraction. The introduction of the resulting disease can help to recognize the type of rice leaves infected with the disease.

Keywords


GLCM; Leaves ; Rice

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References


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DOI: http://dx.doi.org/10.26555/jiteki.v16i1.16630

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