A New Method to Classify Leaves Using Data Visualization: Spreading Awareness About Global Warming

HARI MOHAN PANDEY; Shilpi Aggarwal; Madhulika Bhatia

doi:10.1007/978-3-030-30577-2_100

A New Method to Classify Leaves Using Data Visualization: Spreading Awareness About Global Warming

HARI MOHAN PANDEY, Shilpi Aggarwal, Madhulika Bhatia

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

4 Citations (Scopus)

Abstract

Nature – an overwhelmingly creation of the God. Our nature is consists of total 390,800 species of plants, is decreasing due to numerous reasons. Existing research indicates that the Global warming is one of the leading causes of this reduction and strong steps need to be taken to address this problem. Through this paper, we are trying to spread awareness about different plant species with believe that it might be useful to reduce the Global warming. We propose a new method to classify leaves using data visualization. The proposed method uses a database of maintained plant species, which then used for classification purpose that utilizes image processing techniques. The proposed method relies on shape properties such as area, perimeter, centroid and bounding box values. We use image processing toolbox (available with MATLAB) to determine shape properties of the leaf samples of 11 different plant species. Experimental results are collected and presented using the scatter graph, which divides the samples into two different groups.

Original language	English
Title of host publication	Proceedings of ICETIT 2019
Subtitle of host publication	Emerging Trends in Information Technology
Editors	Pradeep Kumar Singh, Bijaya Ketan Panigrahi, Nagender Kumar Suryadevara, Sudhir Kumar Sharma, Amit Prakash Singh
Publisher	Springer, Singapore
Pages	1
Number of pages	11
ISBN (Electronic)	978-3-030-30577-2
ISBN (Print)	978-3-030-30576-5
DOIs	https://doi.org/10.1007/978-3-030-30577-2_100
Publication status	Accepted/In press - 17 Jun 2019

Publication series

Name	Lecture Notes in Electrical Engineering - Springer
Publisher	Springer
Number	605
ISSN (Electronic)	1876-1100

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10.1007/978-3-030-30577-2_100Licence: CC BY-NC-SA

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PANDEY, HARI. MOHAN., Aggarwal, S., & Bhatia, M. (Accepted/In press). A New Method to Classify Leaves Using Data Visualization: Spreading Awareness About Global Warming. In P. K. Singh, B. K. Panigrahi, N. K. Suryadevara, S. K. Sharma, & A. P. Singh (Eds.), Proceedings of ICETIT 2019: Emerging Trends in Information Technology (pp. 1). (Lecture Notes in Electrical Engineering - Springer; No. 605). Springer, Singapore. https://doi.org/10.1007/978-3-030-30577-2_100

PANDEY, HARI MOHAN ; Aggarwal, Shilpi ; Bhatia, Madhulika. / A New Method to Classify Leaves Using Data Visualization: Spreading Awareness About Global Warming. Proceedings of ICETIT 2019: Emerging Trends in Information Technology. editor / Pradeep Kumar Singh ; Bijaya Ketan Panigrahi ; Nagender Kumar Suryadevara ; Sudhir Kumar Sharma ; Amit Prakash Singh. Springer, Singapore, 2019. pp. 1 (Lecture Notes in Electrical Engineering - Springer; 605).

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abstract = "Nature – an overwhelmingly creation of the God. Our nature is consists of total 390,800 species of plants, is decreasing due to numerous reasons. Existing research indicates that the Global warming is one of the leading causes of this reduction and strong steps need to be taken to address this problem. Through this paper, we are trying to spread awareness about different plant species with believe that it might be useful to reduce the Global warming. We propose a new method to classify leaves using data visualization. The proposed method uses a database of maintained plant species, which then used for classification purpose that utilizes image processing techniques. The proposed method relies on shape properties such as area, perimeter, centroid and bounding box values. We use image processing toolbox (available with MATLAB) to determine shape properties of the leaf samples of 11 different plant species. Experimental results are collected and presented using the scatter graph, which divides the samples into two different groups.",

author = "PANDEY, {HARI MOHAN} and Shilpi Aggarwal and Madhulika Bhatia",

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PANDEY, HARIMOHAN, Aggarwal, S & Bhatia, M 2019, A New Method to Classify Leaves Using Data Visualization: Spreading Awareness About Global Warming. in PK Singh, BK Panigrahi, NK Suryadevara, SK Sharma & AP Singh (eds), Proceedings of ICETIT 2019: Emerging Trends in Information Technology. Lecture Notes in Electrical Engineering - Springer, no. 605, Springer, Singapore, pp. 1. https://doi.org/10.1007/978-3-030-30577-2_100

A New Method to Classify Leaves Using Data Visualization: Spreading Awareness About Global Warming. / PANDEY, HARI MOHAN; Aggarwal, Shilpi; Bhatia, Madhulika.
Proceedings of ICETIT 2019: Emerging Trends in Information Technology. ed. / Pradeep Kumar Singh; Bijaya Ketan Panigrahi; Nagender Kumar Suryadevara; Sudhir Kumar Sharma; Amit Prakash Singh. Springer, Singapore, 2019. p. 1 (Lecture Notes in Electrical Engineering - Springer; No. 605).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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AB - Nature – an overwhelmingly creation of the God. Our nature is consists of total 390,800 species of plants, is decreasing due to numerous reasons. Existing research indicates that the Global warming is one of the leading causes of this reduction and strong steps need to be taken to address this problem. Through this paper, we are trying to spread awareness about different plant species with believe that it might be useful to reduce the Global warming. We propose a new method to classify leaves using data visualization. The proposed method uses a database of maintained plant species, which then used for classification purpose that utilizes image processing techniques. The proposed method relies on shape properties such as area, perimeter, centroid and bounding box values. We use image processing toolbox (available with MATLAB) to determine shape properties of the leaf samples of 11 different plant species. Experimental results are collected and presented using the scatter graph, which divides the samples into two different groups.

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PANDEY HARIMOHAN, Aggarwal S, Bhatia M. A New Method to Classify Leaves Using Data Visualization: Spreading Awareness About Global Warming. In Singh PK, Panigrahi BK, Suryadevara NK, Sharma SK, Singh AP, editors, Proceedings of ICETIT 2019: Emerging Trends in Information Technology. Springer, Singapore. 2019. p. 1. (Lecture Notes in Electrical Engineering - Springer; 605). doi: 10.1007/978-3-030-30577-2_100

A New Method to Classify Leaves Using Data Visualization: Spreading Awareness About Global Warming

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