This study aimed to perform more appropriate management of the water delivered to the irrigation network. For this purpose, a combination of K-Means and Apriori algorithms was conducted to evaluate the impact of various factors on the management of water delivered to the irrigation network. Initially, the amount of water entering the irrigation network and its various influential factors were clustered by the K-Means algorithm. Then, the output information of the K-Means algorithm was selected as the input information of the Apriori algorithm. Accordingly, six optimal clusters were formed by the K-Means algorithm whereby 18 association rules related to six clusters were extracted by the Apriori algorithm. In addition, the amount of water requirements of crops played the greatest impact on the decision of managers for the amount of water delivered to the irrigation network. In some cases, although the amount of precipitation satisfies the water requirements of crops, it does not affect reduction of the amount of water delivered to the irrigation network. Further, air temperature and air humidity percentage had not been considered in the managers' decision related to the amount of water delivered to this network. Since the problem of water deficit and lack of precipitation existed in the Abyek plain, it is suggested that the positive effects of environmental factors on the amount of water delivered to the irrigation network be considered to prevent water wastage.
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