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A Data-Driven Intelligent Decision-Making Model for Irrigation Scheduling

December 18, 2023 @ 12:00 pm - 1:00 pm

Agriculture relies heavily on irrigation, but this essential practice consumes a significant portion of our increasingly scarce freshwater resources. Climate change and urban expansion exacerbate this challenge, making efficient irrigation management a critical factor in global sustainability. Additionally, excessive irrigation harms the environment by polluting waterways, depleting water sources, and salinizing soil.
This webinar presents a groundbreaking data-driven intelligent irrigation scheduling model that optimizes water use efficiency and promotes agricultural sustainability. By leveraging readily available soil moisture and evapotranspiration data from the High-Resolution Land Data Assimilation System (HRLDAS), the model provides precise irrigation recommendations tailored to specific field conditions.
Key benefits of the decision model include:
– 20-40% water savings: Achieve significant water conservation while ensuring optimal crop growth.
– Increased crop yield: Maximize production by providing the right amount of water at the right time.
– Reduced environmental impact: Minimize water pollution and soil salinization for a healthier environment.
– Cost-effective and easy to implement: No expensive sensors or data subscriptions required, making it accessible to all farmers.
During this webinar, you will learn the decision support system in depth:
– How the data-driven model works and its key features
– The benefits of ET-Water Balance and soil-moisture based irrigation scheduling methods.
– How deep reinforcement learning further optimizes irrigation decisions.
– Real-world examples and case studies showcasing the model's effectiveness.
– How to access and utilize the model through the free WaterSmart Data Information Portal.
Speaker(s): Haoteng Zhao,
Virtual: https://events.vtools.ieee.org/m/389291


December 18, 2023
12:00 pm - 1:00 pm
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