Inference Analysis of Dry Rubber Content Inductive Properties in Discriminating of White Root Disease

• Published in: IEEE Region 10 Annual International Conference, Proceedings/TENCON
• Main Author: Yussuf U.R.; Johari J.; Elias M.E.; Ezan Abdullah N.
• Format: Conference paper
• Language: English
• Published: Institute of Electrical and Electronics Engineers Inc. 2018
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063194444&doi=10.1109%2fTENCON.2018.8650229&partnerID=40&md5=32ff063caa8259a54ffd66f6e754da5b

This paper is focuses on designing and constructing hardware to measure inductivity for discriminating White Root Disease (WRD) from Dry Rubber Content (DRC) sheets. Five types of clones, which are RRIM 3001, RRIM 2008, RRIM 2007, RRIM 2014 and RRIM 2002 were used for this research. The crude inductive sensor used as an inductor with value of 470μH and act as an actual value measurement. The variation of 470μH inductor determines the changes of inductivity from the magnetic field produce by the inductor to the material. The hardware also consists of Arduino microcontroller-based programmed with a formula for inductance value measurement. The device tested at a specific workspace in order to keep the measurement correctly tested. For the discrimination process of data, the data undergoes the normality distribution test using the SPSS software. The analysis disclosed that the data were not normally distributed with a significant level at 0.00. Therefore, the Non-Parametric test which is Kruskal-Wallis test need to be used. Thus, the final finding showed that there is a significant evidence for discriminating the WRD. © 2018 IEEE.