Method and apparatus for applying intuition technology to better preserve grains against pest damages in smart silos

A computing system comprising:

• a plurality of storage devices to store core data and ring data of a system, wherein the core data includes parameters describing a grain storage container and ring data includes parameters describing surroundings of the grain storage container;
• and
• one or more processors coupled to the storage devices and configured to implement an intuition platform configured to collect and analyze the core data and ring data to determine one or more changing situations of the grain storage container, and to adjust an oxygen-to-nitrogen ratio in the grain storage container based on the collected data to control pest population in the grain storage container,
• wherein the one or more processors are configured to:
• receive, from a sensor in the grain storage container, pest detection acoustic sensor data:
• receive one or more grain storage container ambience parameters, wherein the one or more grain storage container ambience parameters comprises temperature, humidity and oxygen content of the grain storage container;
• combine the collected data with qualitative data;
• detect threshold conditions related to state changes in pest life cycle in the grain storage container;
• and
• generate one or more alerts, using an intuition model for pest infestation forewarning, in response to determining conditions in the grain storage container for pest infestation.

A non-transitory computer-readable medium comprising instructions, when executed by a computing system, causes the computing system to perform operations comprising:

• collecting data related to one or more conditions related to a grain storage container;
• and
• adjusting an oxygen-to-nitrogen ratio in the grain storage container based on the collected data to control pest population in the grain storage container,
• wherein the operations further comprise:
• receiving, from a sensor in the grain storage container, pest detection acoustic sensor data;
• receiving one or more grain storage container ambience parameters, wherein the one or more grain storage container ambience parameters comprises temperature, humidity and oxygen content of the grain storage container;
• combining the collected data with qualitative data;
• detecting threshold conditions related to state changes in pest life cycle in the grain storage container;
• and
• generating one or more alerts, using an intuition model for pest infestation forewarning, in response to determining conditions in the grain storage container for pest infestation.