Deep recognition of rice disease images: how many training samples do we really need?
Journal:
Journal of the science of food and agriculture
Published Date:
Jun 15, 2024
Abstract
BACKGROUND: With the rapid development of deep learning, the recognition of rice disease images using deep neural networks has become a hot research topic. However, most previous studies only focus on the modification of deep learning models, while lacking research to systematically and scientifically explore the impact of different data sizes on the image recognition task for rice diseases. In this study, a functional model was developed to predict the relationship between the size of dataset and the accuracy rate of model recognition.