Image Based Leaf Area Measurement Method Using Artificial Neural Network

Siswantoro, Joko and Artadana, Ida Bagus Made (2019) Image Based Leaf Area Measurement Method Using Artificial Neural Network. In: 2019 International Conference of Artificial Intelligence and Information Technology (ICAIIT), 13-15 March 2019, Yogyakarta. (Submitted)

[thumbnail of Paper ICAIIT2019 Joko hal 1.pdf] PDF
Paper ICAIIT2019 Joko hal 1.pdf

Download (2MB)
Official URL / DOI: https://ieeexplore.ieee.org/document/8834500/metri...

Abstract

Leaf area is an important parameter in plant monitoring. An automatic method for measuring leaf area is needed to obtain accurate result. In this paper, a method for automatic leaf area measurement from image is proposed. The method captured the image of leaf without object reference. Four features were extracted from the image and used as input to artificial neural network for estimating leaf area. The experiment results show that the proposed method can measure leaf area with mean absolute relative error less than 1% and less computational time.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: leaf area measurement, automatic, artificial neural network, image processing
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Engineering > Department of Informatic
Depositing User: Joko Siswantoro
Date Deposited: 22 Jul 2019 04:28
Last Modified: 20 Sep 2021 08:00
URI: http://repository.ubaya.ac.id/id/eprint/35156

Actions (login required)

View Item View Item