Short-term forecast of generation of electric energy in photovoltaic systems

A Bugała, M Zaborowicz, P Boniecki, D Janczak… - … and Sustainable Energy …, 2018 - Elsevier
The paper presents the use of classical statistical methods and methods based on neural
modeling in short-term forecasting of electric energy from photovoltaic conversion. A …

Soil amendment impact to soil organic matter and physical properties on the three soil types after second corn cultivation.

H Karamina, W Fikrinda - AIMS Agriculture and food, 2020 - go.gale.com
Soil amendment is important for low organic matter soil dominated by sand or clay. Soil
amendments using biochar and various types of organic fertilizer have been shown to …

Energy value estimation of silages for substrate in biogas plants using an artificial neural network

A Kowalczyk-Juśko, P Pochwatka, M Zaborowicz… - Energy, 2020 - Elsevier
The typical tests of biogas efficiency require a great deal of time and are quite expensive.
Thus, there is a necessity to develop tools for estimating the energy value of silage more …

Discrimination method of biomass slagging tendency based on particle swarm optimization deep neural network (DNN)

Y Bi, C Chen, X Huang, H Wang, G Wei - Energy, 2023 - Elsevier
The slagging problem that occurs during the combustion of biomass fuels is difficult to deal
with, affecting the safe operation of the boiler and reducing the combustion efficiency …

The use of biochar for the production of organic fertilizers

W Czekała, A Jeżowska… - Journal of Ecological …, 2019 - yadda.icm.edu.pl
The fertilizer management is one of the greatest challenges of agriculture in the 21st century.
The growing demand for food, along with the similar amount of arable land, creates the …

Biological waste management in the case of a pandemic emergency and other natural disasters. Determination of bioenergy production from floricultural waste and …

J Frankowski, M Zaborowicz, J Dach, W Czekała… - Energies, 2020 - mdpi.com
In relation to the situation caused by the pandemic, which may also take place in the future,
there is a need to find effective solutions to improve the economic situation of the floristry …

The methods of extracting the contribution of variables in artificial neural network models–Comparison of inherent instability

K Pentoś - Computers and Electronics in Agriculture, 2016 - Elsevier
The methods for quantifying variable importance in neural network based model are used in
many scientific fields. These methods open the “black box” model and give the information …

Applying an artificial neural network approach to the analysis of tractive properties in changing soil conditions

K Pentoś, K Pieczarka - Soil and Tillage Research, 2017 - Elsevier
For better performance of a micro-tractor during agricultural operations, it is necessary to
select the optimal tractor configuration for the operation. The purpose of this study was to …

Rapeseed seeds quality classification with usage of VIS-NIR fiber optic probe and artificial neural networks

T Wojciechowski, G Niedbała… - 2016 International …, 2016 - ieeexplore.ieee.org
The development of non-destructive methods like VIS-NIR reflection spectroscopy and
artificial neural networks to analyse the rape seeds content of fat and protein was the subject …

Classification of dried vegetables using computer image analysis and artificial neural networks

K Koszela, M Łukomski, W Mueller… - … on digital image …, 2017 - spiedigitallibrary.org
In the recent years, there has been a continuously increasing demand for vegetables and
dried vegetables. This trend affects the growth of the dehydration industry in Poland hel** …