paper
2023
Local & station forecasting
Applications & impacts Application study
Classical ML (trees, GP, linear, kernels)6 h–3 days Journal
2023-06-12
004
Jun 2023
Nyakuri Pierre, Ishimwe Viviane, Uwimana Lambert et al.
European Journal of Technology
IoT and fuzzy-logic system predicts 24-hour farm rainfall from sensors and cut water use 55% in a two-hectare maize trial; ML role is modest.
AI Based Real-Time Weather Condition Prediction with Optimized Agricultural Resources
In one sentence. IoT and fuzzy-logic system predicts 24-hour farm rainfall from sensors and cut water use 55% in a two-hectare maize trial; ML role is modest.
Labels
- Topic
- Local & station forecasting, Applications & impacts
- Type
- Application study
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- 6 h–3 days
- Domain
- Local / station
- Data
- Station / in-situ
- Status
- Pre-operational / experimental
- Identifiers
- DOI:10.47672/ejt.1496 OpenAlex:W4380358438
- Added
- 2026-10-22
Labels and summary are generated by Claude and reviewed weekly. Wrong? Edit this entry.