Upgraded RRIM2000 rubber clones identification through image and statistical analysis

This paper studies the research work to identify the perimeter, area and radius for selected rubber seed RRIM2000 series with the aid of image processing using Sobel Edge Detection techniques. There are two groups of RRIM2000 family which are Group 2A and 2B. For this project, there are five types of rubber seed selected as a sample. Three types of group 2A which are RRIM2007, RRIM2009, RRIM2016 and the two types from Group 2B which are RRIM2012 and RRIM2025. RGB colour image for all selected seed are captured using a digital camera. Image processing involving converting RGB image to grayscale, edge detection, morphology conducted using the Matlab software to extract the shape features. 150 samples used for testing and final analysing using SPSS software to identify the clone. Data obtain from one-way ANOVA and error plot measurement shown that two of the clones series significantly different from each other in term of perimeter, area and radius classification. As a conclusion, perimeter, area and radius of rubber seed clone can be used to recognize selected RRIM2007 and RRIM2025 rubber seed clone only.