TY - JOUR T1 - Forecasting the Growth of Wheat Shoots based on Neural Networks A1 - Svetlana Mustafina A1 - Natalya Uspenskaya A1 - Denis Smirnov A1 - Denis Yashin A1 - Sofia Mustafina A1 - Oleg Larin JF - Entomology and Applied Science Letters JO - Entomol Appl Sci Lett SN - 2349-2864 Y1 - 2020 VL - 7 IS - 2 SP - 70 EP - 76 N2 - 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. UR - https://easletters.com/article/forecasting-the-growth-of-wheat-shoots-based-on-neural-networks ER -