Integrating climate intelligence into digital agroadvisory systems: A scalable multi model framework for AgWise Engine
Agricultural production, particularly in smallholder systems, faces increasing risks from climate hazards such as floods, droughts, and typhoons, which directly threaten livelihoods. Timely access to climate advisories is paramount for strengthening adaptation strategies and minimizing climate chang...
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Informe técnico |
| Language: | Inglés |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/179597 |
Similar Items: Integrating climate intelligence into digital agroadvisory systems: A scalable multi model framework for AgWise Engine
- AgWise Fertilizer Recommendation Module
- Development of the AgWise forecast-based Optimum Planting Date and Cultivar Advisory Framework
- AgWise Forecast-Based Optimum Planting Date & and cultivar Advisory Framework
- AgWise: Modular decision support tools integrating data, models, and AI for site-specific agronomy and soil health management recommendations
- AgWise [Dashboard]
- PROGRESS REPORT: Developing Data‑Driven Agronomic Recommendations for Site‑Specific Nutrient Management on Rice in Cambodia