ERA evidence synthesis & meta-analysis automation (ERAgriculture/AI-Powered-Meta-Analysis-Automation R-code GitHub)
This repository, developed under the CGIAR Sustainable Farming Program (SFP), establishes an AI-assisted workflow for evidence synthesis and meta-analysis in agriculture. The workflow automates labor-intensive stages of systematic review, including search term generation, screening, tagging, keyword...
| Main Authors: | , , , |
|---|---|
| Format: | Software |
| Language: | Inglés |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/180144 |
Similar Items: ERA evidence synthesis & meta-analysis automation (ERAgriculture/AI-Powered-Meta-Analysis-Automation R-code GitHub)
- AI-Powered Meta-Analysis Automation
- AI in qualitative research: Using large language models to code survey responses in native languages
- From principles to practice: Why ethical AI starts with data
- Longa: An automated speech recognition tool for Bantu languages
- Agricultural-Evidence-Synthesis-Hub: v1.0.0
- AI-powered location-specific fertilizer recommendation using data-driven machine and large language model (LLM) for maize and wheat in Ethiopia: genesis of TeroAI