Artificial intelligence is becoming the "actuary" for saving grain and reducing losses, promoting the transformation of the entire grain chain from extensive management to refined management. In our country, food loss and waste are still a huge hidden loss "black hole", and there is huge space for saving and reducing losses. Artificial intelligence can systematically cultivate this' intangible fertile land '. Artificial intelligence (AI), as an important driving force for the new round of technological revolution and industrial transformation, is currently penetrating every link of the grain industry chain. Its value lies not only in improving production efficiency, but also in reshaping the value chain and operational logic of the grain industry, activating and amplifying the value hidden in losses, dormant in data, and potential by-products one by one, injecting strong sustainable new momentum into the high-quality development of the grain industry. Artificial intelligence is becoming the "actuary" for saving grain and reducing losses, promoting the transformation of the entire grain chain from extensive management to refined management. In our country, food loss and waste are still a huge hidden loss "black hole", and there is huge space for saving and reducing losses. Artificial intelligence can systematically cultivate this' intangible fertile land '. In the acquisition process, the intelligent inspection system uses AI visual recognition to automatically sample and test grain varieties, greatly improving inspection efficiency and fairness, and reducing losses caused by waiting and misjudgment. In the warehousing process, AI relies on sensors and the Internet of Things installed in the grain warehouse to continuously monitor and analyze the grain situation 24 hours a day, automatically warning and regulating ventilation, cooling, and dehumidification systems to safeguard every grain. In the processing stage, AI color sorting machines accurately identify and remove foreign objects, damaged particles, and germinated and moldy particles, improving the quality and value of grain, transforming "waste" into resources, and truly achieving grain conservation, efficiency improvement, and turning waste into treasure. Artificial intelligence, as the "smart brain" for optimizing the entire industry chain, promotes the transformation of the grain industry from experience driven to data-driven. Exploring the implicit value of the grain industry is not only about reducing "explicit" physical losses, but also about activating data elements, optimizing resource allocation, production decisions, and product innovation, thereby releasing incremental value. The agricultural production process is the most active field of artificial intelligence application. "Smart agriculture" relies on AI to achieve precise fertilization, irrigation, accurate diagnosis of diseases and pests, significantly reducing the abuse of fertilizers and pesticides, saving water, reducing costs, and protecting the environment. Artificial intelligence can also combine meteorological data, historical yields, and real-time crop growth images to predict farmland yields with high accuracy several months in advance, providing scientific support for decision-making. At the same time, the combination of AI and blockchain technologies can build a quality traceability system and risk warning system from the field to the dining table, ensuring food safety, enhancing brand trust, and truly achieving a win-win situation for industrial quality improvement and value creation. Artificial intelligence is becoming an "innovation engine" for value-added and resilience enhancement in the grain industry, promoting the transformation of grain from primary processing to full value utilization. The implicit value of grain lies not only in the main product, but also in the high-value utilization of by-products and the construction of industrial resilience. Artificial intelligence helps the grain industry break through the traditional primary processing mode by optimizing processes and driving innovation, deeply exploring the high-value potential of processing by-products and creating new food value. On the one hand, artificial intelligence can transform by-products such as rice bran and soybean residue into high value-added products through component analysis and process optimization, which can effectively alleviate the shortage of feed resources and improve efficiency; On the other hand, artificial intelligence assists in food research and innovation, developing new products such as soy ice cream, transforming high-quality soy resources into high-value end consumer goods, extending the industrial chain, and improving the risk resistance of enterprises. In this process, artificial intelligence can not only tap into the potential value of the grain industry, but also release the triple benefits of economy, society, and ecology through recycling and product innovation, systematically enhancing industrial resilience. Artificial intelligence is reshaping the industrial ecosystem, giving rise to new industrial models and full chain collaboration. In the process of grain processing, the "black light factory" completely controlled by robots, sensors, and AI systems has become a reality. This highly automated production mode not only achieves 24-hour uninterrupted production, greatly improving efficiency, but also ensures the ultimate stability of product quality by reducing manual intervention. The combination of artificial intelligence and big data enables industrial Internet platforms such as "integration of production, purchase, storage, processing and sales", seamlessly links decentralized growers, storage enterprises, processing plants and sales terminals, provides relevant subjects with one-stop services such as credit review, intelligent planting, online trading, supply chain finance, etc., solves the pain points such as the long grain industry chain and poor information, and gradually builds a new ecology of efficient, transparent and coordinated grain industry. In the future, artificial intelligence will unleash greater potential in the field of food, but it also faces problems such as inconsistent agricultural data standards, isolated islands, high costs, and talent shortages. We should accelerate the implementation of relevant national policies, strengthen policy coordination and scenario demonstration, and focus on tackling low-cost, modular, and easy-to-use artificial intelligence solutions; Build an integrated data collection system for air, space, and earth, and break down data barriers; Deepen the integration of industry, academia, research, and application, cultivate a composite talent team, and enable artificial intelligence to truly take root in the fields and empower industries. (New Society)