The invention relates to the technical field of agricultural
data management, in particular to a grain
data management method and
system based on
artificial intelligence, and the method comprises the following steps: based on a grain transportation container and a storage environment, extracting
monitoring data of temperature and
humidity monitoring equipment, a gas component
detector and an illumination sensor, summarizing environment parameters, screening abnormal environment data, and storing the abnormal environment data; and obtaining an environment state
record. According to the invention, through accurate analysis of temperature and
humidity, gas components and illumination data,
perception and alarm capabilities of sudden changes of a storage environment are enhanced, comprehensiveness of quality change monitoring is improved, mining capability of relevance of environmental factors and
microbial pollution is enhanced, optimal storage conditions are matched, quality loss risks are reduced,
pollution factors are accurately identified, and the method is suitable for popularization and application. Through combination of air
quality data,
pollution hidden danger screening and risk pre-judgment capabilities are improved, abnormal environment data are deeply analyzed, quality deterioration alarm is optimized, abnormal environment identification precision is improved, and a
grain quality guarantee
system is enhanced.