Compared with the advanced and sophisticated industrial production, agriculture and food production appear backward and sloppy, and agricultural production management methods are lacking. The fourth industrial revolution, represented by information technologies such as intelligent perception, Internet of Things, block chain, big data and artificial intelligence, has empowered traditional industries, and agriculture has stepped into a new digital, intelligence and even wisdom, which could provide a new opportunity to improve agricultural production management. Existing agricultural production management research is mostly limited to the study of concept definition, applicable theory and other issues. The development of information technology has built up a low-level Internet of Things with certain coverage, which brings some convenience, but cannot effectively support agricultural management and decision-making due to data silos, data waste, data abuse, data falsification and other thorny issues. From the perspective of top-level design and system management, this paper addressed the problems in the development of smart agriculture, conceptualized the characteristics of the event and natural event chains in the agricultural industry chain. This paper also proposed for the first time an event-correlation management approach and its wisdom strategy. The implementation of the event-correlation method included five aspects, including goal alignment, index systematization, asset linkage, process linkage and effect traceability. The application of the event-correlation management approach and its wisdom in the 5T management standard designation for Jilin rice brand building and the “six-step fresh rice precision control technology” innovation system of Wilmar rice industry have shown that it can improve the culture of rice cultivation, and systematically reduce losses to improve quality and increase economic benefits.