Automated rubber seed clones identification using QTR-1A reflectance sensor and PIC: article / Noor Anida Mustaffa

This paper describes research work in developing an automatic model for rubber seed clone identification. The objective of this project is to create an intelligent detector using QTR-IA rellectance gcnsor and interface with PICI6FETTA microcontrollcr. Beside that changes in distance between sensor and rubber seed surface during take a reading are main objectiive. Five types of clones from the same series of rubber seed have been used as sample in this project which is RRIM 2002, RRIII[1015, RRIM 2020, RRIM 2023 and lastly RRIM 2024. Three reflectance sensors (QTR-IA) were used to ensure that all gurface srmples take the reeding. The device measure the percentrges of reflectence based on the intensity of light reflected from the rubber seed surface. Then, the Microsoft Oflice Excel was used to analysis the output voltage that converts from light reflectence of wavelength to get averege voltage by takes 25 samples readings from 5 difference clones. Finelly' the range of avenge output voltege for each clone have been made based on the analysis obtained and identification of rubber seed clone be done.