Clarity in rangelands: Distinguishing invasive species from palatable forage, using satellite monitoring, environmental drivers, and machine learning classifiers
| Autores principales: | , , , , |
|---|---|
| Formato: | Brief |
| Publicado: |
ILRI
2023
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/138592 |
Ejemplares similares: Clarity in rangelands: Distinguishing invasive species from palatable forage, using satellite monitoring, environmental drivers, and machine learning classifiers
- Utilizing Artificial Intelligence and Remote Sensing to Detect Prosopis juliflora Invasion: Environmental Drivers and Community Insights in Rangelands of Kenya
- Tracking Rangeland Degradation from Prosopis Invasion in Kenyan Rangeland: A Multi-Source Approach Combining Remote Sensing, Machine Learning and Citizen Science
- Integrating Earth Observation, Machine Learning and Citizen Science to Map Prosopis juliflora Invasion in Semi-Arid Rangelands of Kenya
- Communicating with clarity
- Of plates and palates
- Digital soil mapping using machine learning model for Kapiti in Kenya