Quantification of leaf movement to study the circadian rhythm using the optical flow

Nugroho, A.P. and Maghfiroh, S. and Fatmawati, D. and Edwantiar, G.P. and Sutiarso, L. and Masithoh, R.E. and Okayasu, T. (2020) Quantification of leaf movement to study the circadian rhythm using the optical flow. In: 3rd International Conference on Agricultural Engineering for Sustainable Agriculture Production, AESAP 2019 Bogor 14 October 2019.

[thumbnail of Nugroho_2020_IOP_Conf._Ser.__Earth_Environ._Sci._542_012066.pdf] Text
Nugroho_2020_IOP_Conf._Ser.__Earth_Environ._Sci._542_012066.pdf
Restricted to Registered users only

Download (1MB) | Request a copy

Abstract

Circadian rhythm is a biological rhythm in a plant that has a 24-hour period, which affects the plant activities such as metabolism processes, physiology processes, and plant behavior. Circadian rhythm represents the biological clock that entrained by the environmental condition affected by the earth rotation. As an alternative to monitoring the circadian rhythm in the plant was the use of leaf motion as a physical indicator. The objective of this study was to present the quantitation method for leaf movement to study the circadian rhythm using the optical flow method. The leaf movement was analyzed from the captured time-lapse imaging using an Infra-red camera to capture the day-night movement of the leaf of Chili (Capsicum annum L.) from top and side view projection. As a result, the quantification method could quantify the leaf motion of Chili for both top and side view projection with the higher movement observed at top view projection. The quantified motion could show the diurnal pattern of circadian rhythm clearly and will be used for further investigation related to plant behavior in response to environmental changes. © Published under licence by IOP Publishing Ltd.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Cited by: 0; All Open Access, Gold Open Access
Uncontrolled Keywords: Agricultural engineering; Agriculture; Sustainable development; Circadian rhythms; Environmental change; Environmental conditions; Infra-red cameras; Optical flow methods; Physical indicators; Quantification methods; Time-lapse imaging; Optical flows
Subjects: S Agriculture > S Agriculture (General)
Divisions: Faculty of Agricultural Technology > Agricultural and Biosystems Engineering
Depositing User: Sri JUNANDI
Date Deposited: 12 Feb 2025 07:30
Last Modified: 12 Feb 2025 07:30
URI: https://ir.lib.ugm.ac.id/id/eprint/14129

Actions (login required)

View Item
View Item