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AI & ML
Optimizing Water-Smart Soybean Production
Precision irrigation management for soybean in Maryland to improve water use efficiency and yield.
Research on optimizing precision irrigation management for soybean production in Maryland, integrating soil moisture monitoring, irrigation scheduling, and crop response to improve water-use efficiency and productivity.
Sub-projects
Forecasting Evapotranspiration Using an Attention-Based Encoder-Decoder LSTM
Developing attention-based LSTM models for evapotranspiration forecasting to support precision irrigation decisions.
Real-Time Crop Water Stress and Irrigation Mapping Using Multispectral Imagery
Sri Chandraja Reddy Allala and Nathaniel Chen
Using multispectral drone imagery to map crop water stress and irrigation needs in real time.
Images
Outcomes
- Data-driven irrigation recommendations for Maryland soybean growers.
- Improved water-use efficiency and yield stability.