Agricultural irrigation water consumption estimation method and system based on machine learning and medium

The invention discloses an agricultural irrigation water consumption estimation method and system based on machine learning and a medium. The method comprises the following steps: collecting agricultural irrigation water consumption related data and research area field size data; a preliminary agricultural irrigation water consumption prediction model is constructed, sensitivity analysis is carried out, variables participating in training are adjusted, and contribution of the variables to agricultural irrigation water consumption estimation precision is determined; constructing a 0-1 classification prediction model for judging whether irrigation occurs or not based on machine learning; constructing a regression prediction model of the agricultural irrigation water consumption based on machine learning; and comparing the agricultural irrigation water consumption regression prediction models based on different machine learning algorithms, and determining the most robust regression prediction model with the high