Selected RRIM 2000 series rubber seed clones identification through statistical analysis using image manipulation / Mior Muhammad Ridzwan Mior Khairuddin

The rubber tree clones can be identified through the tree branch, the tree leaves, the rubber milk, and the rubber seeds. In this paper, the research in done to recognize the clone through the rubber seed by using image manipulation techniques based on the pixel from the image of the seed. The samples of seeds used are from the Hevea brasiliensis RRIM2000 series species. There are about 33 clones in this series. However, only five of the series is selected (RRIM2002, RRIM2015, RRIM2020, RRIM2023, and RRIM2024). Samples of this rubber seeds are captured by using a digital camera under a control light, stored and later to be processed by using the Matlab software. The data extracted from the histogram produced from the Matlab is then analyzed using the SPSS software. The statistical result from the error plot and the one-way ANOVA shows that it is hardly to differentiate the clones as the clone does not show a clear differences between each clones.