Forecasting the Productivity of the Agrophytocenoses of the Miscanthus Giganteus for the Fertilization Based on the Wastewater Sedimentation Using Artificial Neural Networks

Abstract

The observations of plant development were carried out for three years. The most desirable period for harvesting the miscanthus is December. During this period, the humidity of the stems decreases to 17%. For this reason, the samples for laboratory tests were taken in December. According to the obtained research data, the sewage sludge used is characterized by the following indicators: humidity -76%, ash content -5%, nitrogen -0.66%, P 2 O 5 -2.51%, K 2 O v 2.16%. In this study, a mathematical model which allowed predicting the yield of the miscanthus at given levels, with the introduction of the mineral and organic (sewage sludge) fertilizers was successfully implemented. According to the performed research, the application of a sewage sludge in norm of 20-40 t/ha promotes the productivity of the power cultures (the miscanthus) within 24.5-27.1 t/ha, thus increasing productivity on 2.3-5.1 t/ha, compared with control.