Calculation of making doses of fertilizers under planned yield of spring wheat using an artificial neural network
2020
Valiev Abdulsamad Akhatovich | Ibyatov Ravil Ibragimovic | Novikova Svetlana Vladimirovna | Kiseleva Natalia Gennadievna
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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