Cargando…
Classification of Plant Leaves Using New Compact Convolutional Neural Network Models
Precision crop safety relies on automated systems for detecting and classifying plants. This work proposes the detection and classification of nine species of plants of the PlantVillage dataset using the proposed developed compact convolutional neural networks and AlexNet with transfer learning. The...
Autores principales: | Wagle, Shivali Amit, Harikrishnan, R., Ali, Sawal Hamid Md, Faseehuddin, Mohammad |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8747718/ https://www.ncbi.nlm.nih.gov/pubmed/35009029 http://dx.doi.org/10.3390/plants11010024 |
Ejemplares similares
-
Classification of Tea Leaves Based on Fluorescence Imaging and Convolutional Neural Networks
por: Wei, Kaihua, et al.
Publicado: (2022) -
Plant-CNN-ViT: Plant Classification with Ensemble of Convolutional Neural Networks and Vision Transformer
por: Lee, Chin Poo, et al.
Publicado: (2023) -
A Compact Convolutional Neural Network for Surface Defect Inspection
por: Huang, Yibin, et al.
Publicado: (2020) -
Classification of Plant Leaf Diseases Based on Improved Convolutional Neural Network
por: Hang, Jie, et al.
Publicado: (2019) -
Banana Plant Disease Classification Using Hybrid Convolutional Neural Network
por: Narayanan, K. Lakshmi, et al.
Publicado: (2022)