52
Views
0
CrossRef citations to date
0
Altmetric
Original Article

Plant water-stress detection by digital imaging using the entropy concept: application to menthe plant (Mentha viridis)

, &
Pages 204-211 | Accepted 24 Jun 2011, Published online: 12 Nov 2013
 

Abstract

The purpose of this work is to demonstrate the capability of digital imaging within the visible range of the electromagnetic radiation to detect early signs of water stress in plants. The approach is based on colour information and on using the entropy concept. The method is composed of two main steps. The first one classifies pixels of the image that contains plant and soil into plant and background pixels. The classification is performed by a hierarchical analysis method by using a two-dimensional (2D) histogram algorithm. The second one introduces a non-destructive water stress indicator using the entropy concept. The method is applied to detect the extent of modification in menthe plants occurring under water-stress conditions. A physiological study of the water status of the plant is undertaken in order to compare the results obtained by the proposed approach. The results show that the proposed methodology is able to detect the signs of water stress in the menthe plant.

The authors are greatly indebted to F. Gaboun for her skilled statistical help. We also thank N. Shaimi for technical assistance in using the LI-6400 Portable Photosynthesis System.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.