Flower Species Recognition Using Machine Learning Classifiers

Authors

  • Amar Yehya Hussien Researcher, Duhok, KRG -IRaq

DOI:

https://doi.org/10.25007/ajnu.v11n4a1636

Abstract

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References

Bhutada, S., K. Tejaswi and S. Vineela. Flower Recognition Using Machine Learning. International Journal Of Researches In Biosciences, Agriculture And Technology, 4(2), 67-73, 2021.

Khalid, L. F., Abdulazeez, A. M., Zeebaree, D. Q., Ahmed, F. Y., & Zebari, D. A. (2021, July). Customer churn prediction in telecommunications industry based on data mining. In 2021 IEEE Symposium on Industrial Electronics & Applications (ISIEA) (pp. 1-6). IEEE.

Haji, S. H., Abdulazeez, A. M., Zeebaree, D. Q., Ahmed, F. Y., & Zebari, D. A. (2021, July). The Impact of Different Data Mining Classification Techniques in Different Datasets. In 2021 IEEE Symposium on Industrial Electronics & Applications (ISIEA) (pp. 1-6). IEEE.

P. Galdi and R. Tagliaferri, “Data mining: accuracy and error measures for classification and prediction,” Encycl. Bioinforma. Comput. Biol., pp. 431–6, 2018.

Chicho, B. T., Abdulazeez, A. M., Zeebaree, D. Q., & Zebari, D. A. (2021). Machine learning classifiers-based classification for IRIS recognition. Qubahan Academic Journal, 1(2), 106-118.

Rao, T. S., Hema, M., Priya, K. S., Krishna, K. V., & Ali, M. S. (2021). Iris Flower Classification Using Machine Learning. Network, 9(6).

Shilpi Jain, V Poojitha, “By Using Neural Network Clustering tool in MATLAB Collecting the IRIS Flower”, Proc. IEEE , vol. 109, 2020.

M. M. Mijwil and R. A. Abttan, “Utilizing the Genetic Algorithm to Pruning the C4. 5 Decision Tree Algorithm,” Asian J. Appl. Sci. ISSN 2321– 0893, vol. 9, no. 1, 2021.

Roung– Guo Huang, Sang-Hyeon Jin, Jung –Hyun Kim and Kwang- Seck Hong, “Flower Image Recognition Using Difference Image Entropy”. DOI: 10.1145/1821748.1821868

K R Rathy, Arya Vaishali, “Classification of Dataset using Efficient Neural Fuzzy Approach”, vol. 099, August 2019.

D. Decoste, E. Mjolsness. 2001. “State of the art and future prospects by using Machine Learning”, vol. 320, 2013.

Y. Lakhdoura and R. Elayachi, “Comparative Analysis of Random Forest and J48 Classifiers for ‘IRIS’ Variety Prediction,” Glob. J. Comput. Sci. Technol., 2020

L. Dhanabal and S. P. Shantharajah, “A study on NSL-KDD dataset for intrusion detection system based on classification algorithms,” Int. J. Adv. Res. Comput. Commun. Eng., vol. 4, no. 6, pp. 446–452, 2015.

Hassan, C. A. U., Khan, M. S., & Shah, M. A. (2018, September). Comparison of machine learning algorithms in data classification. In 2018 24th International Conference on Automation and Computing (ICAC) (pp. 1-6). IEEE.

Taher, K. I., Abdulazeez, A. M., & Zebari, D. A. (2021). Data Mining Classification Algorithms for Analyzing Soil Data. Asian Journal of Research in Computer Science, 17-28.

Zafeiris, D.; Rutella, S.; Ball, G.R. An Artificial Neural Network Integrated Pipeline for Biomarker Discovery Using Alzheimer’s Disease as a Case Study. Comput. Struct. Biotechnol. J. 2018, 16, 77–87.

Zebari, D. A., Abrahim, A. R., Ibrahim, D. A., Othman, G. M., & Ahmed, F. Y. (2021). Analysis of Dense Descriptors in 3D Face Recognition. In 2021 IEEE 11th International Conference on System Engineering and Technology (ICSET) (pp. 171-176). IEEE.

Abdulqadir, H. R., Abdulazeez, A. M., & Zebari, D. A. (2021). Data mining classification techniques for diabetes prediction. Qubahan Academic Journal, 1(2), 125-133.

Ibrahim, D. A., Zebari, D. A., Ahmed, F. Y., & Zeebaree, D. Q. (2021, November). Facial Expression Recognition Using Aggregated Handcrafted Descriptors based Appearance Method. In 2021 IEEE 11th International Conference on System Engineering and Technology (ICSET) (pp. 177-182). IEEE.

Y. Lakhdoura and R. Elayachi, “Comparative Analysis of Random Forest and J48 Classifiers for ‘IRIS’ Variety Prediction,” Glob. J. Comput. Sci. Technol., 2020.

D. Rana, S. P. Jena, and S. K. Pradhan, “Performance Comparison of PCA and LDA with Linear Regression and Random Forest for IRIS Flower Classification,” PalArchs J. Archaeol. EgyptEgyptology, vol. 17, no. 9, pp. 2353–2360, 2020.

K. Sarpatwar et al., “Privacy Enhanced Decision Tree Inference,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2020, pp. 34–35.

Abdulazeez, A. M., Zeebaree, D. Q., Zebari, D. A., & Hameed, T. H. (2021). Leaf Identification Based on Shape, Color, Texture and Vines Using Probabilistic Neural Network. Computación y Sistemas, 25(3), 617-631.

Published

2022-12-20

How to Cite

Yehya Hussien, A. (2022). Flower Species Recognition Using Machine Learning Classifiers. Academic Journal of Nawroz University, 11(4), 469–475. https://doi.org/10.25007/ajnu.v11n4a1636

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Section

Articles