Keywords: productivity, multivariate crop model, yield factors, air temperature, precipitation, GIS, database, security curves, trend, moving averages, space-time analysis, zoning, adaptation, making decisions, criteria, mixed strategies.

// Мелиорация.— 2019. – №1(87) – P 43—56

The article carried out a spatio-temporal analysis of variability of crop yields and crop-forming factors, using a developed automated system based on GIS and DB, which collected data from the results of long-term monitoring observations at hydrometeorological stations of Hydromet, grades of plants testing stations of the state crop testing system and stations of the Institute for crop yields and agrometeorological crop-forming factors. As a result of the analysis, the variability of yield values and agrometeo-factors based on the construction of probability curves, variability in the context of many years based on the visualization of trends using the moving average algorithm, the calculation of various statistical characteristics of different levels of generalization in time and zoning on the territory of Belarus were studied.