The Classification of Flower Features using Artificial Intelligence from Ganga Choti Bagh Azad Kashmir

Classification of Flower Features using Artificial Intelligence from Ganga Choti Bagh Azad Kashmir

https://doi.org/10.48185/jaai.v3i1.431

Authors

  • Sajid Ali Khan GREEN HILLS POSTGRADUATE COLLEGE RAWALAKOT POONCH AZAD KASHMIR PAKISTAN
  • Ishtiaq Afzal Government Postgraduate College Rawalakot Poonch Azad Kashmir Pakistan

Keywords:

AI, GLCM, Image Classification, Flower

Abstract

This research utilized surface and shading highlights for blossom grouping. Standard data set of blossoms have utilized for tests. The pre-handling like clamor expulsion and division for end of foundation are applied on input pictures. Surface and shading highlights are separated from the portioned pictures. Surface component is removed utilizing GLCM (Gray Level Co-event Matrix) technique and shading highlight is separated utilizing Color second. For arrangement, neural organization classifier is utilized. The general precision of the framework is 96.0%.

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References

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Published

2022-06-30

How to Cite

Khan, S. A., & Afzal, I. (2022). The Classification of Flower Features using Artificial Intelligence from Ganga Choti Bagh Azad Kashmir: Classification of Flower Features using Artificial Intelligence from Ganga Choti Bagh Azad Kashmir. Journal of Applied Artificial Intelligence, 3(1), 17–23. https://doi.org/10.48185/jaai.v3i1.431

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Section

Articles