An Ensemble Deep Learning Technique for Plant Identification

Authors

  • P. Siva Prasad Dept. of Computer Science, Alagappa University,Karikudi- 630 003, Tamil Nadu, India
  • A. Senthilrajan Dept. of Computational Logistics, Alagappa University, Karikudi -630 003, Tamil Nadu, India

DOI:

https://doi.org/10.26438/ijcse/v8i4.133135

Keywords:

CNN, Bagging, Boosting, Novel Approach

Abstract

Plant identification system is helped to find unidentified plants. Plant identification is most difficult task with the existing classification algorithms. Many existing classifiers are present to identify the plant species with the help of leafs. With the various drawbacks, the system will not reach that much. In recent years, many applications belong to various domains and technologies are using the Deep Learning (DL) for rapid and better results. In this paper, the Novel Approach (NA) is introduced with the combination of CNN adopted with ensemble methods such as bagging and boosting. This paper addresses that the Convolutional Neural Network (CNN) with ensemble methods is better than Machine Learning methods to identify the plant by leaf. The ensemble methods are to improve the accuracy and sensitivity of plant identification model. The parameters such as sensitivity and accuracy are the two metrics to show the performance.

References

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[2] Anami, B. S., Suvarna, S. N., & Govardhan, A. (2010). A combined color, texture and edge features based approach for identification and classification of indian medicinal plants. International Journal of Computer Applications,6(12), 45-51.

[3] A. Aakif, M. F. Khan, "Automatic classification of plants based on their leaves", Biosyst. Eng., vol. 139, pp. 66-75, Nov. 2015.

[4] Go¨eau, H., Bonnet, P., Joly, A.: Plant identification in an open-world (lifeclef 2016). In: CLEF working notes 2016. (2016)

[5] J. Wäldchen, P. Mäder, "Plant Species Identification Using Computer Vision Techniques: A Systematic Literature Review" in Arch. Comput. Methods Eng., pp. 1-37, Jan. 2017.

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Published

2020-04-30
CITATION
DOI: 10.26438/ijcse/v8i4.133135
Published: 2020-04-30

How to Cite

[1]
P. S. Prasad and A. Senthilrajan, “An Ensemble Deep Learning Technique for Plant Identification”, Int. J. Comp. Sci. Eng., vol. 8, no. 4, pp. 133–135, Apr. 2020.

Issue

Vol. 8 No. 4 (2020): IJCSE April Edition

Section

Technical Article

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