METHODS FOR ASSESSING AUTUMN WINTER WHEAT YIELD PARAMETERS BASED ON MODERN GEOSPATIAL ALGORITHMS
Abstract
Scientific and practical research aimed at ensuring food security, based on modern methods such as global satellite data, mathematical algorithms, are important. In this study, crops growth and yield parameter were assessed using process base model DSSAT with weather, satellite and yield data obtained at field. The main types of winter wheat cultivars were classified and growth parameters and yield predicted using regression models
References
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