Application of close remote sensing and artificial neural networks (ANN) in the diagnostics and eva

Application of close remote sensing and artificial neural networks (ANN) in the diagnostics and evaluation of plantation health of selected varieties

Project type: EIP-AGRI Operational Group
Grant ID: OG_Poland_a1647cef14
Start date: 1/1/2021
End date: 1/1/2022
CORDIS database: -
Project website: Project website

Contributions

Application of artificial neural networks for cereal plant disease detection
Document
Dec 31, 2022
-
dr hab. inż. Wiesław Golka
The document discusses the use of artificial neural networks for detecting diseases in cereal crops, with a focus on the project 'Application of close-range remote sensing and artificial neural networks in the diagnosis and assessment of the health condition of plantations of selected varieties in cereal species – wheat and triticale'.