Mechanism and Data-Driven Grain Condition Information Perception Method for Comprehensive Grain Storage Monitoring

Conventional grain monitoring systems often rely on isolated data points (e.g., point- based temperature measurements), limiting holistic condition assessment. This study proposes a novel Mechanism and Data Driven (MDD) framework that integrates physical mechanisms with real-time sensor data. The framework quantitatively analyzes solar radiation and external air temperature effects on silo boundaries and introduces a novel interpolation-optimized model parameter initialization technique to...