ArticleFoods (Basel, Switzerland)2025
Mechanism and Data-Driven Grain Condition Information Perception Method for Comprehensive Grain Storage Monitoring.
Article in Foods (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Influence of Interannual Climate Variability on Wheat Quality During Long-Term Storage: Comparative Analysis and Mathematical Modeling.Foods (Basel, Switzerland) · 2026Article
- Air-Ground Collaborative Autonomous Exploration and Mapping Method for Complex Multi-Grain Pile Environments.Sensors (Basel, Switzerland) · 2026Article
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Authors and funding
6 authors.
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Abstract
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 enable comprehensive grain condition perception. Rigorous multidimensional validation confirms the method's accuracy: The novel initialization technique achieved high precision, demonstrating only 1.89% error in Day-2 low-temperature zone predictions (27.02 m
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.