Prognostic Models of Panicum virgatum L. Using Artificial Neural Networks

Prognostic Models of Panicum virgatum L. Using Artificial Neural Networks

The article shows the possibility of using modern methods of artificial intelligence to calculate the yield of biomass of crops according to the given set input data (fertilizer doses, agrochemical parameters of the soil, productivity). The study reflects the results of testing a model of a compute...

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Bibliographic Details
Main Authors: Vasyl Ivanovych Lopushniak, Halyna Myhaylovna Hrytsuliak, Anatoliy Viktorovych Bykin, Nadia Petryvna Bordyuzha, Larysa Oleksandryvna Semenko, Myroslava Stepanivna Polutrenko, Yulia Zinoviyivna Kotsyubynska
Format: article
Language:EN
Published: Polish Society of Ecological Engineering (PTIE) 2021
Subjects:
biomass
artificial neural networks
productivity
precipitate
artificial intelligence
switchgrass
Environmental technology. Sanitary engineering
TD1-1066
Environmental sciences
GE1-350
Online Access:https://doaj.org/article/09a53f710fc643749422b8b4b8edcebb
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https://doaj.org/article/09a53f710fc643749422b8b4b8edcebb

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