The University of Nebraska-Lincoln and Georgia Institute of Technology have upgraded the ACREE app with an innovative AI feature aimed at enhancing irrigation management for farmers. This new functionality utilizes SPADE (Soil moisture Pattern and Anomaly DEtection) to interpret soil moisture sensor data more intuitively. By leveraging advanced large language models (LLMs) like ChatGPT-4.1, the tool detects irrigation and rainfall events, estimates net water gains, identifies anomalies, and generates user-friendly reports. It simplifies data interpretation by analyzing one-foot depth readings from the past week, allowing farmers to easily identify critical changes. For example, SPADE identified an irrigation event on August 24, revealing a moisture increase from 30.3% to 36.6%, equating to a moisture gain of approximately 0.75 inch. This timely insight supports more efficient irrigation planning, empowering producers to make smarter, data-driven decisions for optimal crop management.
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