Application of neural networks for cereal crop disease detection
Zastosowanie sztucznych sieci neuronowych do wykrywania chorób roślin zbożowych w rolnictwie
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Detail description
Artificial neural networks for disease detection in cereal crops. Application of close-range remote sensing and neural networks in diagnosing and assessing the health of wheat and triticale plantations. Research by Dr hab. inż. Wiesław Gółka. Neural networks are increasingly used in agriculture, industry, medicine, finance, and scientific research. Since the 2000s, neuronically driven diagnostic systems have been applied to evaluate crop health, particularly in complex and rapidly evolving agricultural sectors.
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Contribution detail info
- Project
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
- Location
- Poland
- Authors
- dr hab. inż. Wiesław Golka
- Purpose
- Communication, Dissemination
- File type
- document
- Created on
- Dec 31, 2022
- Origin language
- Polish
- Official project website
- Application of close remote sensing and artificial neural networks (ANN) in the diagnostics and eva
- License
- CC BY
- Keywords
- Themes