Neural network modeling as a means of providing free access to the results of agronomic research in the scientific community

Autor: A G Nikiforov, A V Rekovets, A M Konova, O V Takhumova, D E Morkovkin, Ya O Zubovov, E V Chernikina
Rok vydání: 2022
Zdroj: IOP Conference Series: Earth and Environmental Science. 1045:012022
ISSN: 1755-1315
1755-1307
DOI: 10.1088/1755-1315/1045/1/012022
Popis: The results of field studies of the yield of spring barley are considered in order to use them to build a neural network model. The main stages of obtaining the model are described. An accuracy of about 2% was obtained, which makes it possible to use the model for research and practical activities. The model was verified, which showed new ways of conducting scientific research on the yield of grain crops.
Databáze: OpenAIRE