Potensi electronic nose 118 untuk mendeteksi penyakit busuk pangkal batang pada kelapa sawit

Abstract

Basal stem rot (BSR) disease caused by Ganoderma sp. is a major disease in oil palm. One of the keys to successfully control BSR disease is to detect the pathogenic infections as early as possible. Early detection technique has been developed in this study was using volatile compounds sensors known as an electronic nose, specifically Electronic Nose 118. Plant samples were obtained from roots, stems, leaves, and soils of four plant categories, which were midly, moderately, and severely infected by Ganoderma, and healthy plants. The test results showed that Electronic Nose was able to record the profile of volatile organic compounds (VOC) produced by Ganoderma sp. The Linear Discriminant Analysis (LDA) results showed that the root and stem samples were differentiated in fairly high level of discrimination with values of 89.66% and 94.59% respectively, while for internal validation value were 98.18% and 89.18%. However, for leaf and soil samples, Electronic Nose 118 resulted in low discriminations. The test results show that Electronic Nose 118 can distinguish samples of roots and stems of healthy plant and Ganoderma-infected plant with a high accuracy.

Keywords

• ganoderma
• linier discriminant analysis (lda)
• pathogen infection
• sensor
• volatile organic compound