Core Insights - The wave of intelligence is transforming grain storage management into a new era of automation, significantly enhancing storage efficiency and ensuring operational safety while reducing post-harvest losses [1][2][3] Group 1: Drivers of Intelligent Grain Storage - Labor shortages due to harsh working conditions and an aging workforce have made traditional manual operations inefficient and risky [1] - Storage risks such as pest infestations and mold growth necessitate real-time monitoring and early warning systems that traditional methods cannot provide [1] - Management issues, including illegal practices and safety concerns, are being addressed through advanced technologies [1] Group 2: Technological Advancements - Automation in grain storage operations is being achieved through the use of AGV/AMR, smart forklifts, and automated sampling and weighing systems, leading to a significant increase in operational efficiency and a reduction in labor costs [2] - The intelligent grain monitoring system has evolved from basic temperature monitoring to a multi-parameter system that tracks various factors affecting grain quality, utilizing AI for predictive analysis [2] - The implementation of intelligent regulatory systems allows for comprehensive oversight of grain storage, enhancing transparency and traceability while enabling rapid response to anomalies [3] Group 3: Challenges and Future Directions - Despite the progress, challenges such as high initial investment, environmental constraints, integration difficulties, and a shortage of skilled management personnel remain [3] - The industry is encouraged to embrace intelligent transformation, enhance AI capabilities, promote unmanned operations, and integrate green technologies to improve grain quality management [3]

Core Viewpoint - The article emphasizes the importance of a comprehensive green storage system for grain, which integrates intelligent monitoring, physical and biological control, and minimized use of chemical agents to prevent grain pests and ensure food quality [1][4]. Summary by Sections Green Storage Techniques - Green storage does not completely eliminate chemical agents but focuses on a "prevention first, integrated control" approach to form a collaborative ecological grain storage system [1][4]. - The annual loss of grain during storage in China exceeds 200 billion jin, with over half attributed to storage pests [1]. Low-Temperature and Low-Oxygen Environments - Creating low-temperature environments in grain storage can suppress pest activity and microbial growth, with temperatures below 15°C causing pests to enter dormancy or die [2]. - Technologies such as internal circulation temperature control and nitrogen gas storage are employed to maintain low temperatures and low oxygen levels, effectively killing pests without chemical residues [2]. Biological Control Methods - Establishing a micro-ecosystem in storage facilities can help control pests through biological means, such as introducing natural enemies like parasitic wasps and using targeted microbial agents [3]. - Despite challenges in large-scale application, biological control methods have shown promising results in specific ecological zones and may complement chemical methods in the future [3]. Digital Monitoring and Data Analysis - Transitioning from passive to active pest control involves utilizing advanced intelligent monitoring systems that integrate various data sources to predict pest outbreaks and trigger preventive measures [3]. - Technologies such as distributed traps and high-spectral cameras are used to collect real-time data on pest activity, enabling targeted interventions [3].