ASSESSING THE VALUE OF DEEP REINFORCEMENT LEARNING FOR IRRIGATION SCHEDULING

Agricultural and Biological Sciences

• Irrigation Scheduling 100%
• Soil Moisture 50%
• Irrigation Management 50%
• Python 25%
• Crop Water Model 25%
• Decision Making 25%
• Pythonidae 25%

Computer Science

• Deep Reinforcement Learning 100%
• Learning Approach 30%
• Open Source 10%
• Early Research 10%
• Decision-Making 10%

Engineering

• Reinforcement Learning 100%
• Learning Approach 30%
• Policy Maker 10%