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Digital Image Processing For Detecting Yellow Lines (Patch Yellow) In Palm Oil Plant Using Sobel Algorithm
Author(s) -
Sri Wahyuni,
Muhammad Zarlis,
Rahmat Widia Sembiring
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1471/1/012067
Subject(s) - image processing , computer science , preprocessor , sobel operator , digital image processing , computer vision , artificial intelligence , digital image , process (computing) , software , edge detection , median filter , feature detection (computer vision) , feature (linguistics) , image (mathematics) , linguistics , philosophy , programming language , operating system
Through computer hardware, digital images can manipulate and analyze data is the process and purpose of processing digital images. Where the data from the Digital Image used is edge detection. The use of visual techniques such as image processing can simplify the process of analyzing an object without dealing directly with the object to be observed. Image of palm oil leaves through image processing can be analyzed through the level of the greenness of the leaves and the patterns that exist on the leaves to determine the fertility of oil palm plants. This research uses descriptive analysis method, by collecting leaf samples that need to be analyzed using image processing software, then detected to determine the pattern of the shape of the leaf being attacked. The process of this research goes through the Preprocessing stage of palm oil leaf image, Feature Extraction, System Implementation, System Testing, documentation and report preparation. The difference from the leaves that are attacked by yellow patch yellow, on the surface of the affected leaves there are patterns such as patches, the more patterns, the more severe the disease attack. Spots at each stage of the disease were successfully obtained through image processing based on a single filter.

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