Artificial intelligence-based system for performing one or more actions associated with plant management and method thereof

An artificial intelligence-based method for performing one or more actions associated with plant management, comprising:

• generating, by one or more sensors, sensor data;
• obtaining, by one or more servers, at least one of:
• the sensor data, weather data, precipitation data, and agronomic variables data;
• determining, by the one or more servers configured with one or more computational models, at least one of:
• interpolate sensor data and extrapolate sensor data, between the one or more sensors based on at least one of:
• water evaporation rates and agronomic variables data of an associated location of the one or more locations of the plant field;
• performing, by the one or more servers configured with the one or more computational models, a comparative analysis between the obtained sensor data and pre-defined sensor data stored in a database, based on at least one of the:
• weather data, precipitation data, agronomic variables data, and at least one of the:
• interpolate sensor data and extrapolate sensor data to generate one or more instructions;
• and
• actuating, by the one or more servers, one or more agrarian equipment positioned in the one or more locations of the plant field for performing the one or more actions associated with plant management, based on the generated one or more instructions.

A non-transitory computer-readable storage medium having programmable instructions stored therein, that when executed by one or more servers, cause the one or more servers to:

• obtaining at least one of:
• sensor data, weather data, precipitation data, and agronomic variables data;
• determining by using one or more computational models at least one of:
• interpolate sensor data and extrapolate sensor data, between one or more sensors based on at least one of:
• water evaporation rates and agronomic variables data of an associated location of the one or more locations of the plant field;
• performing by using the one or more computational models a comparative analysis between the obtained sensor data and pre-defined sensor data stored in a database, based on at least one of the:
• weather data, precipitation data, agronomic variables data, and at least one of the:
• interpolate sensor data and extrapolate sensor data to generate one or more instructions;
• and
• actuating one or more agrarian equipment positioned in the one or more locations of the plant field for performing the one or more actions associated with plant management, based on the generated one or more instructions.