Method and system for formulating smart irrigation strategy

A method for irrigating a planting area, comprising:

• obtaining a current agricultural state of a target planting area, wherein the current agricultural state comprises meteorological data, soil data, crop parameters, and field management data;
• determining, based on the current agricultural state, a current irrigation strategy based on a preset irrigation decision-making model and a Q-learning smart body;
• performing irrigation simulation on the target planting area based on the current irrigation strategy, to obtain a reward value for irrigation and a next agricultural state, wherein the reward value for irrigation is determined based on a crop yield after irrigation, a crop water demand, and annual economic costs;
• the current agricultural state, the current irrigation strategy, the reward value for irrigation, and the next agricultural state form an experience quaternion;
• and a plurality of experience quaternions constitute an experience pool;
• taking a randomly sampled experience quaternion in the experience pool as a training sample, and training the Q-learning smart body, to obtain a table of optimal Q values, wherein the table of optimal Q values is used to determine an optimal irrigation strategy based on any agricultural state of the target planting area;
• and
• irrigating the target planting area based on the table of optimal Q values.