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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21673
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Total Authors : 22459
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| Paper Title: | Plant Species Identification |
| Authors Name: | Bhagyashri Somnath Bandalgi , Sakshi Dhondiba Doke , Vaishnavi Sanjay Bidbag , Yallaling Bhagwan Gadade , Prof.Hosale A.P. |
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| Author Reg. ID: |
IJRTI_204376
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| Published Paper Id: | IJRTI2506045 |
| Published In: | Volume 10 Issue 6, June-2025 |
| DOI: | |
| Abstract: | We focus on plant species identification as it is a classic and hot issue. In tradition plant species identification the samples are scanned specimen and the background is simple. However, real-world species recognition is more challenging. We first systematically investigate what is realistic species recognition and the difference from tradition plant species recognition. To deal with the challenging task, an interdisciplinary collaboration is presented based on the latest advances in computer science and technology. Plants play an irreplaceable role in our world and they have direct effect in many domains such as agriculture, climate, ecological system and so on. Besides, they are the main source of food for human survival and development. Many problems such as habitat degradation, global warming, ecosystems destruction,environment worsen, species extinction, and so on have something to do with plant protection. Plant species identification is the prerequisite for protection. There have been many research related to the issue. Method based on image classification is now considered to help improve the plant taxonomy. It is o the most promising solutions among those related research work, as discussed in And it has been a long term hot research issue. Considering flowers and fruits of plants are seasonal, some researchers believe that leaves are more suitable for identification. In the early time, leaves are frequently used for computer-aided plant species classification. Most image based identification methods and evaluation data proposed were based on leaf. |
| Keywords: | Plant Species Identification,Feature Extraction,SVMs. |
| Cite Article: | "Plant Species Identification", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 6, page no.a423-a432, June-2025, Available :http://www.ijrti.org/papers/IJRTI2506045.pdf |
| Downloads: | 000520 |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2506045
Registration ID:204376
Published In: Volume 10 Issue 6, June-2025
DOI (Digital Object Identifier):
Page No: a423-a432 Country: Solapur, Maharashtra, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2506045 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2506045 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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