BambooFolio: Enhancing Bamboo Species Classification Through Image Processing

  • Unique Paper ID: 168323
  • Volume: 11
  • Issue: 5
  • PageNo: 414-419
  • Abstract:
  • Bamboo is a highly adaptable and environmentally significant plant species essential to many economic sectors, including building, furniture manufacturing, and environmental preservation. Nonetheless, bamboo species are difficult to identify and categorize because of their immense diversity and subtle variances. The tools and technologies were not invented or discovered, even though the concept of applying digital image processing to identify bamboo species that significantly exploited the methodological approach has been accomplished previously. Our model is an effective Graphical User Interface (GUI) created to increase the accessibility and user-friendliness of the suggested Ideas for the consumers. Because BambooFolio can quickly and accurately identify bamboo species, it is a valuable tool for ecological research, reforestation initiatives, and industrial bamboo uses. The project's evolution demonstrates how cutting-edge image processing methods combined with approachable user interfaces may be able to close the gap between technology advancement and biodiversity protection. To correctly identify the species from its photos, we have extracted the important and relevant characteristics using various image processing techniques. BambooFolio uses computer vision and image processing to identify the variety of bamboo species efficiently and precisely for botanists, academics, and laypeople alike. It offers a stimulating and useful platform that boosts the efficiency of the classifying procedure.

Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{168323,
        author = {Chaitanyaa Vijay Khode and Gayatri H. Kolhe and Jivida G. Bagade and Diksha F. Nagdevete and Kajal S. Chandel},
        title = {BambooFolio: Enhancing Bamboo Species Classification Through Image Processing},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {5},
        pages = {414-419},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=168323},
        abstract = {Bamboo is a highly adaptable and environmentally significant plant species essential to many economic sectors, including building, furniture manufacturing, and environmental preservation. Nonetheless, bamboo species are difficult to identify and categorize because of their immense diversity and subtle variances. The tools and technologies were not invented or discovered, even though the concept of applying digital image processing to identify bamboo species that significantly exploited the methodological approach has been accomplished previously. Our model is an effective Graphical User Interface (GUI) created to increase the accessibility and user-friendliness of the suggested Ideas for the consumers. Because BambooFolio can quickly and accurately identify bamboo species, it is a valuable tool for ecological research, reforestation initiatives, and industrial bamboo uses. The project's evolution demonstrates how cutting-edge image processing methods combined with approachable user interfaces may be able to close the gap between technology advancement and biodiversity protection. To correctly identify the species from its photos, we have extracted the important and relevant characteristics using various image processing techniques. BambooFolio uses computer vision and image processing to identify the variety of bamboo species efficiently and precisely for botanists, academics, and laypeople alike. It offers a stimulating and useful platform that boosts the efficiency of the classifying procedure.},
        keywords = {Graphical User Interface, environmental preservation, reforestation.},
        month = {October},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 5
  • PageNo: 414-419

BambooFolio: Enhancing Bamboo Species Classification Through Image Processing

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