Research on Artificial Intelligence: Deep Learning to Identify Plant Species
Author:
Affiliation:
1. Xi’an Jiaotong-Liverpool University,SuZhou,China,215000
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9763553/9763490/09763654.pdf?arnumber=9763654
Reference7 articles.
1. A new Conv2D model with modified ReLU activation function for identification of disease type and severity in cucumber plant
2. Real-time prediction of rockburst intensity using an integrated CNN-Adam-BO algorithm based on microseismic data and its engineering application
3. Tacho-less sparse CNN to detect defects in rotor-bearing systems at varying speed
4. CovidXrayNet: Optimizing data augmentation and CNN hyperparameters for improved COVID-19 detection from CXR
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