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The yield of corn depends on hybrid variety, water availability, soil fertility, humus content, mineral composition, and the use of modern technologies. At the current stage of agro-technological development, stable yield growth is achieved through intensive methods and a comprehensive understanding of the factors influencing productivity. This monograph explores the current state of corn yield prediction, the agro-melioration characteristics of the Mukhran-Saguramo Valley, and the results of stationary field experiments. It details methodologies for predictive yield assessment, applied agrotechnical measures, and the economic efficiency of corn cultivation under various conditions. Approved by the Academic Council of Tbilisi Teaching University (Protocol No. 6, 15.01.2019), the work serves as a valuable resource for farmers, researchers, and students in agricultural engineering, forestry, and agronomy.