%0 Journal Article
%T Forecasting the Growth of Wheat Shoots based on Neural Networks
%A Svetlana Mustafina
%A Natalya Uspenskaya
%A Denis Smirnov
%A Denis Yashin
%A Sofia Mustafina
%A Oleg Larin
%J Entomology and Applied Science Letters
%@ 2349-2864
%D 2020
%V 7
%N 2
%P 70-76
%X The article is devoted to the search for optimal growth parameters of wheat shoots using neural networks. The main parameters affecting the growth of wheat shoots are determined. A training sample has been compiled for working with a neural network, and a neural network has been built. Using the forecasting method, the optimal parameters for the growth of wheat shoots were determined depending on the concentration of cadmium in the soil, soil moisture, ambient temperature, and the concentration of added bacteria Bacillus subtilis.
%U https://easletters.com/article/forecasting-the-growth-of-wheat-shoots-based-on-neural-networks