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The purpose of the following work is to review the methods used in predicting plant yields, with particular emphasis on potato production. The article refers to the histological methods of estimating plant yields and prevailing trends: groundbased remote sensing, which is often associated with regression calculus, multiple regression, artificial intelligence and image analysis. There are also two...
Artificial neural network modelling has proven incredibly effective in an impressively wide range of scientific disciplines. The combination of these various methods with wavelet decomposition signal processing has similarly proven to be a powerful development for statistical forecasting of a number of environmental processes. Space weather modelling and prediction has often been applied to forecasting...
Determination of the bearing capacity of subsoil requires knowledge of the soil strength parameters. The standard way to determine the soil parameters is the use of direct research methods. In the case of less responsible buildings designed on a subsoil of simple structure it often seems reasonable to adopt basic soil parameters without performing complex analysis. Frequently, the geotechnical parameters...
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