Analisis Karakterisasi Penyakit pada Tanaman Pisang Menggunakan Kamera Termal dengan Metode Tresholding

Abstract

Abstract  Banana is a fruit plant that is widely produced in Indonesia. Unfortunately, this plant is very
susceptible to diseases which can reduce the quality and quantity of the crop. 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, so that the position is the same as the image taken
using a digital camera, the image produced by the thermal camera is carried out by an image registration
process. 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 effectiveness of the proposed method is
measured using the parameters Recall, Precision, F-measure, and Accuracy. The effectiveness of the
proposed method is effective enough to produce a recall value of 76.65 percents, Precision 58.38 percents, F-measure
64.68 percents, and Accuracy 62.87percents.
Keywords Banana Plant Disease, Thermal Image, RGB Image, Multi Thresholding, Effectiveness
Measurement.