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© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM15362

Plant Recognition for Drug Industry

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM15362

Volume:

6 |

7 |

Jul 2022

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM15362

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SBP

Srinivas Balaji P

AK

Aruna K

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Abstract

The medication business balance the environment as well as the farming efficiency and manageability. Botanists are keen on the minor departure from leaf qualities as it assists them with doing a similar to the investigation on plants. Acknowledgment of Plant from pictures is a difficult PC vision task. The different kinds of difficulties are many pieces of the plant, which should be distinguished, are additionally assorted in nature with high intra class varieties and little entomb class varieties. Albeit the exploration on programmed plant scientific categorization has delivered productive outcomes, however those models are still distant from the prerequisites of a completely robotized natural reconnaissance situation.

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Cite This Article

Srinivas Balaji P, Aruna K, "Plant Recognition for Drug Industry," International Journal of Scientific Research in Engineering and Management, vol. 6, no. 7, Jul 2022. https://doi.org/10.55041/IJSREM15362

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5/6/2022

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Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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