Plant Identification Using Leaf Image Analysis

Proceedings of 3rd International Conference on Internet of Things and Connected Technologies (ICIoTCT), 2018 held at Malaviya National Institute of Technology, Jaipur (India) on March 26-27, 2018

6 Pages Posted: 8 May 2018

See all articles by Sonali Agarwal

Sonali Agarwal

Ganeshi Lal Aggarwal University (GLA) - Institute of Engineering

Anand Singh Jalal

Ganeshi Lal Aggarwal University (GLA)

Mohd. Aamir Khan

Ganeshi Lal Aggarwal University (GLA) - Institute of Engineering

Date Written: April 29, 2018

Abstract

Plant identification is a vital task in areas such as medicine, botany and food sector. Leaves also play an essential role in plant species recognition. However, plant identification becomes more challenging in case of leaves with the complicated background having interferences and overlapping. In this paper, an efficient approach is proposed for classification of leaf images with a complicated background. In the proposed approach, firstly, a saliency detection method is used to segment leaf images from a complicated background. Then, morphological and texture features are extracted from the region of interest. Finally, a multilevel classification is used for Leaf recognition. The experimental results are validated with an accuracy of 94%.

Suggested Citation

Agarwal, Sonali and Jalal, Anand Singh and Khan, Mohd. Aamir, Plant Identification Using Leaf Image Analysis (April 29, 2018). Proceedings of 3rd International Conference on Internet of Things and Connected Technologies (ICIoTCT), 2018 held at Malaviya National Institute of Technology, Jaipur (India) on March 26-27, 2018. Available at SSRN: https://ssrn.com/abstract=3170725 or http://dx.doi.org/10.2139/ssrn.3170725

Sonali Agarwal (Contact Author)

Ganeshi Lal Aggarwal University (GLA) - Institute of Engineering ( email )

17km Stone, NH-2, Mathura-Delhi Road
P.O. Chaumuhan
Mathura, Uttar Pradesh 281 406
India

Anand Singh Jalal

Ganeshi Lal Aggarwal University (GLA)

17km Stone, NH-2, Mathura-Delhi Road
P.O. Chaumuhan
Mathura, ID Uttar Pradesh 281 406
India

Mohd. Aamir Khan

Ganeshi Lal Aggarwal University (GLA) - Institute of Engineering

17km Stone, NH-2, Mathura-Delhi Road
P.O. Chaumuhan
Mathura, Uttar Pradesh 281 406
India

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