Development of Identification Methods Based on Soil Imagery Characteristics, Textures, and Shapes Suitable for Planting Food Crops
Keywords:
identification, characteristics, texture, shapes, soil imagery, food cropsAbstract
This research involves the analysis of digital soil images using digital image processing techniques. The main objective is to determine suitable food crops for planting based on 2-dimensional color digital soil images by extracting soil characteristics, texture, and shape. The study utilizes segmentation, extraction, and identification methods. The first stage of this research is image pre-processing, which involves image segmentation using two methods: converting RGB images to Lab and subsequent segmentation using the K-Means clustering method. The second stage is image processing, where the extraction of soil image characteristics, texture, and shape is performed. In the final stage, the identification process occurs, providing recommendations for the appropriate food crops to be planted on the analyzed land. The research achieved an accuracy rate of 80%, accurately identifying 20 images while inaccurately classifying 5 images out of a total of 25 input images.
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