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Identification of water stress of plants using image processing

conference contribution
posted on 26.10.2018, 00:00 authored by Rohan De SilvaRohan De Silva, PA Senanayake,
Low Leaf Water Content (LWC) levels in plants lead to water stress, and the leaves become wilted. Most farmers use slight wilting as the visual indicator to water their plants. Though the researchers have studied LWC of plants extensively using remote sensing and complex methods, the agricultural industry cannot use them as they are complex and costly. This paper presents a simple method of recognizing water stress of leaves using leaf images taken by a smartphone. Our initial experiment on a large sample of mung bean leaves indicates that RGB values of images are related to water stress. The method would be beneficial to the agricultural industry as once further developed; it could be used to determine the watering time point of plants. The process can be automated by capturing the images by a camera mounted on a land or an aerial robot and processing them online.

History

Parent Title

Conference proceedings: 8th International Conference on Business and Information, ICBI 2017, Exploring Disruptive Opportunities for Exponential Business Growth

Start Page

384

End Page

394

Number of Pages

11

Start Date

17/11/2017

Finish Date

17/11/2017

ISSN

2465-6399

Location

University of Kelaniya, Sri Lanka

Publisher

University of Kelaniya

Place of Publication

Kelaniya, Sri Lanka

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

Institute of Chartered Accountants of Sri Lanka

Era Eligible

Yes

Name of Conference

8th International Conference on Business and Information (ICBI - 2017)