CNN Based Approach to Identify Hibiscus Plant Species

@article{1702752,
      author = {Pallavi Shetty, Dr. Balasubramani R},
      title = {CNN Based Approach to Identify Hibiscus Plant Species},
      journal = {Iconic Research And Engineering Journals},
      year = {2021},
      volume = {4},
      number = {12},
      pages = {22-26},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1702752.pdf},
      abstract = {Plants are vital to human survival. There are numerous rare plant species that humans need in their daily lives, whether for medicinal or other purposes. It is everyone's responsibility to recognize the need for such species and protect them for future generations. As a result, identifying plant species is primarily a research platform. Because leaf images are 2D in nature, while stem images and flower images are 3D, it has been proven in the technical plant identification process that identifying a plant using its leaf images is easier than identifying a plant using other components such as stem images, flower images, and so on. As a result of considering these factors, some Hibiscus species have been detected and classified using CNN algorithm technique. },
      keywords = {CNN, Hibiscus Species, Deep learning algorithm, leaf data set},
      month = {June},
  }