Abstract
This article examines the forecasting of tasks in the agro-industrial complex (AIC) based on machine learning technologies and time series. The process of forecasting yield problems using the modern FbProphet system is studied and the results of the forecast based on real data on the yield of agricultural crops for individual regions of the Issyk-Kul region are obtained.
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