Modeling of Inventory Indices of Stands in the Environment of Office Software

This paper is devoted to the study of the construction and application of an artificial neural network for calculating the doses of fertilizer application at the planned yield level in the conditions of grey forest soils of the Republic of Tatarstan. When using mineral fertilizers for crops, it is crucial to comply with the norms and doses of the introduced substances. An overabundance of fertilizer leads to residual accumulation in the soil. Lack of quantity of applied doses affects the quality of the crop, as well as the fertility and ecological situation of agricultural lands. High modern technology and information tools allow solving this problem.

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Calculation of making doses of fertilizers under planned yield of spring wheat using an artificial neural network

Valiev

Ibyatov

Novikova

et al. 2020

BIO Web Conf.

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Mathematical Modeling of Swirled Nonisothermic Flow of Two-Phase Media over Permeable Surfaces

Ibyatov

2017

Theor Found Chem Eng

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Modeling of Inventory Indices of Stands in the Environment of Office Software

Abstract: The mathematical models, that reflect the dynamics of the main taxation indicators of stands with age in office software environment were developed.

Cited by 2 publications

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Calculation of making doses of fertilizers under planned yield of spring wheat using an artificial neural network

Calculation of making doses of fertilizers under planned yield of spring wheat using an artificial neural network

Mathematical Modeling of Swirled Nonisothermic Flow of Two-Phase Media over Permeable Surfaces

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