Lessons learned from the application of machine learning to studies on plant response to radio-frequency

Immunology and Microbiology

• Radiofrequency 100%
• Learning 83%
• Electromagnetism 83%
• Time 66%
• Random Forest 66%
• Accuracy 50%
• Specific Absorption Rate 50%
• K Nearest Neighbor 50%
• Plant 33%
• Electric Field 33%
• Algorithm 33%
• Species 33%
• Density 33%
• Strength 33%
• Classification Algorithm 33%
• Biological Product 16%
• Plant Growth 16%
• Nomenclature 16%
• Sample Size 16%
• Health 16%
• Classifier 16%

Agricultural and Biological Sciences

• Learning 83%
• Case Studies 50%
• Accuracy 50%
• Algorithms 33%
• Plant Response 33%
• Plant Health 33%
• Prediction 33%
• Plant Growth 16%
• Simulation Mode 16%
• Bioelectromagnetics 16%
• Publications 16%
• Literature 16%
• Correlation 16%
• Peers 16%