The project F-Predict is dedicated to creating a prediction model which can predict fertilizer prices. The experiences in financial forecasting which were gained in the project smart farming are used. Different machine learning models will be applied. The focus is on signal selection. The evaluation uses historical, test and real data.
Project
F-Predict
Development of a forecasting model regarding fertilizer prizes
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Duration:
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Research Topics
Data Management & Analysis Machine Learning & Deep Learning
- Application fields
Farming & Agricultural Technology
Sponsors
Rauch Landmaschninenfabrik
Contact Person
Keyfacts
- Involved research areas
Smart Service Engineering - Head
Prof. Dr.-Ing. Wolfgang Maaß