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Paper Title

Revolutionizing Plant Taxonomy through Integrative Approaches and Artificial Intelligence - A Review

Authors

Ch Devi Palaka , Dr.Y.Vijaya kumar

Keywords

Integrative taxonomy, plant systematics, artificial intelligence, machine learning, DNA barcoding, deep learning, biodiversity.

Abstract

Plant taxonomy, the foundation of botanical science, is entering a transformative era driven by the integration of artificial intelligence (AI) and multidisciplinary data. Traditional taxonomy has relied heavily on morphological traits, but the complexity of plant diversity and cryptic species often challenges human-based identification. Integrative taxonomy, which combines morphological, molecular, ecological, and geographical data, provides a more holistic framework for species delimitation. However, handling and interpreting such heterogeneous data demand computational methods capable of recognizing complex patterns and relationships. Here, we present an overview of how AI particularly machine learning and deep learning can revolutionize plant taxonomy by automating data analysis, detecting hidden diversity, and accelerating species identification. We highlight the integration of image-based recognition of plant organs, DNA barcoding classification, and ecological niche modelling through AI algorithms. Additionally, we discuss recent advances in multimodal data fusion that enable the synthesis of molecular and phenotypic datasets for more robust taxonomic decisions. The study emphasizes the potential of AI to enhance reproducibility, reduce human bias, and enable rapid biodiversity assessment in the face of global environmental change. We conclude that the synergy between integrative taxonomy and artificial intelligence represents a paradigm shift in plant systematics, paving the way for a new era of automated, data-driven taxonomy and biodiversity discovery.

How To Cite

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IJCRT — journal style
"Revolutionizing Plant Taxonomy through Integrative Approaches and Artificial Intelligence - A Review", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.13, Issue 12, page no.182-186, December 2025, Available :https://ijcrt.org/papers/IJCRTBJ02030.pdf
APA — 7th edition
Palaka, C. D., & kumar, D. Y. V. (2025). Revolutionizing Plant Taxonomy through Integrative Approaches and Artificial Intelligence - A Review. International Journal of Creative Research Thoughts, 13(12), 182-186. https://doi.org/10.56975/ijcrt.v13i12.298171
MLA — 9th edition
Palaka, Ch Devi, and Dr.Y.Vijaya kumar. "Revolutionizing Plant Taxonomy through Integrative Approaches and Artificial Intelligence - A Review." International Journal of Creative Research Thoughts, vol. 13, no. 12, 2025, pp. 182-186, https://doi.org/10.56975/ijcrt.v13i12.298171.
Chicago — 17th, bibliography
Palaka, Ch Devi, and Dr.Y.Vijaya kumar. "Revolutionizing Plant Taxonomy through Integrative Approaches and Artificial Intelligence - A Review." International Journal of Creative Research Thoughts 13, no. 12 (2025): 182-186. https://doi.org/10.56975/ijcrt.v13i12.298171.
Harvard — author–date
Palaka, C.D. and kumar, D.Y.V. (2025) 'Revolutionizing Plant Taxonomy through Integrative Approaches and Artificial Intelligence - A Review', International Journal of Creative Research Thoughts, 13(12), pp. 182-186. Available at: https://doi.org/10.56975/ijcrt.v13i12.298171
IEEE — numbered reference
C. D. Palaka and D. Y. V. kumar, "Revolutionizing Plant Taxonomy through Integrative Approaches and Artificial Intelligence - A Review," IJCRT, vol. 13, no. 12, pp. 182-186, Dec. 2025, doi: 10.56975/ijcrt.v13i12.298171.
Vancouver — biomedical
Palaka CD, kumar DYV. Revolutionizing Plant Taxonomy through Integrative Approaches and Artificial Intelligence - A Review. IJCRT. 2025 Dec;13(12):182-186. doi: 10.56975/ijcrt.v13i12.298171
AMA — 11th edition
Palaka CD, kumar DYV. Revolutionizing Plant Taxonomy through Integrative Approaches and Artificial Intelligence - A Review. IJCRT. 2025;13(12):182-186. doi:10.56975/ijcrt.v13i12.298171
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRTBJ02030, author = {Ch Devi Palaka and Dr.Y.Vijaya kumar}, title = {Revolutionizing Plant Taxonomy through Integrative Approaches and Artificial Intelligence - A Review}, journal = {International Journal of Creative Research Thoughts}, volume = {13}, number = {12}, pages = {182-186}, year = {2025}, month = {December}, issn = {2320-2882}, doi = {10.56975/ijcrt.v13i12.298171}, url = {https://doi.org/10.56975/ijcrt.v13i12.298171} }
RIS — EndNote, RefWorks
TY - JOUR AU - Palaka, Ch Devi AU - kumar, Dr.Y.Vijaya TI - Revolutionizing Plant Taxonomy through Integrative Approaches and Artificial Intelligence - A Review T2 - International Journal of Creative Research Thoughts JA - IJCRT VL - 13 IS - 12 PY - 2025 SN - 2320-2882 DO - 10.56975/ijcrt.v13i12.298171 UR - https://doi.org/10.56975/ijcrt.v13i12.298171 SP - 182 EP - 186 ER -

Issue

Volume 13 Issue 12, December-2025
Pages : 182-186

Article Information

Pages
182-186
Published
December 2025
Registration ID
IJCRT_298171
Published Paper ID
IJCRTBJ02030
Research Area
Science and Technology
Author Type
Indian Author
Location
India
Licence
CC BY 4.0 · Open Access
ISSN & Impact Factor
2320-2882 · IF 9.17
Downloads
404
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International Journal of Creative Research Thoughts Published by IJCRT Publication
2320-2882 ISSN
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© 2025 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
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Declarations

Funding

No external funding was received for this study.

Conflict of Interest

The authors declare that they have no conflict of interest.

Acknowledgements

The authors would like to thank the reviewers and the editorial board of International Journal of Creative Research Thoughts for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.

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