Neural Network Modeling of Physicochemical Processes in Fluvisols with the Application of Sewage Sludge as Fertilizer for Energy Crops

Neural Network Modeling of Physicochemical Processes in Fluvisols with the Application of Sewage Sludge as Fertilizer for Energy Crops

This study investigates the impact of sewage sludge-based composts on the quality of sod-podzolic soils (Fluvisols, WRB), which are naturally acidic and low in fertility. A field experiment with eight variants was conducted, applying different doses of sewage sludge and composts mixed with organic m...

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Main Authors: Halyna Hrytsuliak, Miroslav Rimar, Vasyl Lopushniak, Andrew Kotsyubynsky, Teodoziia Yatsyshyn, Andrii Iatsyshyn, Jan Kizek, Peter Oravec, Vasyl-Danylo Liakh, Marcel Fedak
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Agriculture
Subjects:
Fluvisols sewage sludge
neural network modeling
physicochemical processes
energy crops
organic fertilizer
Online Access:https://www.mdpi.com/2077-0472/15/7/727
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