Internet of Things (IoT)-Enabled Machine Learning Models for Efficient Monitoring of Smart Agriculture

Computer Science

• Internet-Of-Things 100%
• Machine Learning 100%
• Learning System 100%
• Support Vector Machine 100%
• Neural Network 75%
• Random Decision Forest 75%
• Inception V3 75%
• Anomaly Detection 75%
• Long Short-Term Memory Network 50%
• Deep Learning Model 50%
• VGG16 50%
• MobileNetV2 50%
• Machine Learning Technique 25%
• Decision-Making 25%
• Nave Bayes 25%
• Multilayer Perceptron 25%
• Artificial Intelligence 25%
• Classification Performance 25%
• Neural Network Architecture 25%

Earth and Planetary Sciences

• Machine Learning 100%
• Support Vector Machine 100%
• Artificial Intelligence 25%
• Decision Making 25%
• Self Organizing Systems 25%
• Agricultural Practice 25%

Biochemistry, Genetics and Molecular Biology

• Support Vector Machine 100%
• Random Forest 75%
• Short Term Memory 50%
• Decision Making 25%
• Artificial Intelligence 25%
• Perceptron 25%