Setyawan, FX. Arinto and Anasta, Nambi and Fitriawan, Helmy (2021) Disease detection in banana trees using an image processing based thermal camera. In: ULICOSTE2020, 18-19 November 2020, Radisson Hotel.

Preview

Text Anasta_2021_IOP_Conf._Ser.__Earth_Environ._Sci._739_012088 (1).pdf - Accepted Version Download (944kB) | Preview

Abstract

Banana is a fruit plant that is widely produced in Indonesia. Unfortunately, this plant is very susceptible to diseases, which can reduce the crop's quality and quantity. This paper proposes disease detection in banana plants using a thermal camera. The detection is carried out using image processing techniques with multilevel thresholding methods. The image is captured using a thermal camera; then, the image is preprocessed to suit what is desired. After that, the image produced by the thermal camera is carried out by an image registration process so that the position is the same as the image taken using a digital camera. The image processing result is compared with the ground truth image obtained from a digital camera to determine the effectiveness of the proposed method. The proposed method's effectiveness is measured using the parameters Recall, Precision, F-measure, and Accuracy. The effectiveness of the proposed method is quite effective because it produces parameter values above 80%, namely the recall value of 85.4%, the Precision of 89.35%, the F measure of 87.33%, and the accuracy of 92.8%.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Fakultas Teknik (FT) > Prodi Teknik Elektro
Depositing User:	Dr. Eng FX ARINTO SETYAWAN
Date Deposited:	31 May 2021 09:49
Last Modified:	31 May 2021 09:49
URI:	http://repository.lppm.unila.ac.id/id/eprint/31487

Actions (login required)

View Item