Few-shot learning convolutional neural network for primitive indian paddy grain identification using 2D-DWT injection and grey wolf optimizer algorithm

Few-shot learning convolutional neural network for primitive indian paddy grain identification using 2D-DWT injection and grey wolf optimizer algorithm

Rice (Oryza sativa) is extensively taken and sold throughout the world. The most common primitive paddy are Goswami, Jamuna, Jamut, Mamata, Pooja, Rambanbas, Sanghmitra, Sanjeevani, Sadhana, and Sannasriya. The primary objective of this study is to enhance the classification accuracy of few-shot lea...

Full description

Bibliographic Details
Main Authors: Nabin Kumar Naik, Prabira Kumar Sethy, A. Geetha Devi, Santi Kumari Behera
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Journal of Agriculture and Food Research
Subjects:
Paddy grain
DWT
Deep learning
Optimization
GWO
Online Access:http://www.sciencedirect.com/science/article/pii/S2666154323004362

Internet

http://www.sciencedirect.com/science/article/pii/S2666154323004362

Similar Items