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

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

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 obta...

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Bibliographic Details
Main Authors: Vasyl Ivanovych Lopushniak, Halyna Myhaylovna Hrytsuliak, Andry Olehovych Kotsiubynsky, Halyna Stepanovna Lopushniak
Format: Article
Language:English
Published: Polish Society of Ecological Engineering (PTIE) 2021-05-01
Series:Ecological Engineering & Environmental Technology
Subjects:
sewage sludge
artificial neural networks
productivity
bioenergy
artificial intelligence
key words: miscanthus
Online Access:http://www.ecoeet.com/Forecasting-the-Productivity-of-the-Agrophytocenoses-of-the-Miscanthus-Giganteus,134867,0,2.html

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