Open Science

Transparent research enabling reproducibility and collaboration

RavensAI believes AI for climate should be open, auditable, and available to researchers and institutions worldwide.

We release training datasets, model weights, and validation benchmarks under open licenses. This commitment enables external auditing, accelerates regional adaptation, and builds trust with institutional partners who can inspect our methods and results.

Research Datasets

Publicly available climate and agricultural data

Datasets used to train and validate Eden are released on standard platforms with full documentation and preprocessing scripts.

Eden Training Datasets v2.1

Complete time-series crop outcomes, satellite observations, and associated climate drivers across 18 African countries.

SCOPE2016-2024 | 45+ districts | 8,200+ farm seasons

SIZE~12 GB (compressed NetCDF format)

ACCESSOpen access via Zenodo (CC-BY-4.0)

RELEASE Q2 2024

Eden Model Checkpoints

Pre-trained LSTM, Random Forest, and XGBoost weights, feature engineering pipelines, and validation metrics.

SCOPELSTM trained on 2016-2023 data | RF tuned per agroecological zone | XGBoost ensemble

SIZE~450 MB

ACCESSOpen access via GitHub (Apache 2.0)

RELEASE Q1 2024

Eden Validation Benchmarks

Hold-out test datasets with ground truth yield and rainfall observations used to measure model performance.

SCOPE2023-2024 | 12 pilot sites | 1,200+ observations

SIZE~80 MB

ACCESSOpen access via Zenodo

RELEASE Q3 2024

Peer-Reviewed Publications

Published research from Eden development

Technical papers describing our model architecture, training procedures, and field validation are available in open-access journals.

Eden Model Architecture & Performance Report

March 2024 • vv2.0 • 10.5281/zenodo.xxxx

  • - Technical deep-dive on model ensemble design and cross-validation
  • - Comparison of LSTM vs. tree-based methods across data regimes
  • - Feature importance analysis and recommendation logic
Read Paper

Training Data Curation and Climate Preprocessing

February 2024 • vv1.5

  • - Methodology for harmonizing multi-source climate datasets
  • - Outlier detection and gap-filling procedures
  • - Reproducible feature engineering pipeline
Read Paper

Eden Beta Release and Pilot Results

December 2023 • vv1.0

  • - Initial deployment across Rwanda and Kenya
  • - Performance metrics and farmer feedback
  • - Roadmap for regional expansion
Read Paper

API Access

Programmatic access to Eden predictions

Partners can integrate Eden forecasts directly into operational dashboards and decision-support systems via REST API.

Get Planting Window

GET

/api/v1/forecast/planting-window

Retrieve AI-generated planting window recommendations for a specified region and crop type.

{"region":"Nakuru","crop":"maize","windowStart":"2024-05-12","windowEnd":"2024-05-23","confidence":0.92}

View full documentation →

Get Yield Forecast

GET

/api/v1/forecast/yield-projection

Retrieve seasonal yield projections compared to historical baselines with uncertainty bands.

{"region":"Eastern Kenya","crop":"sorghum","projectedYield":"2.1 t/ha","baseline":"1.9 t/ha","confidence":0.88}

View full documentation →

Get Climate Risk Alert

GET

/api/v1/alert/climate-risk

Retrieve climate risk assessments (drought, flood, heat stress) with lead times and severity scores.

{"region":"Coastal Ghana","riskType":"flood","severity":0.78,"leadTime":"7-day","actionRequired":true}

View full documentation →

List Available Regions

GET

/api/v1/regions

Get list of all regions and countries where Eden forecasts are available.

{"regions":["East Africa","West Africa","North Africa","Southern Africa"],"countries":22}

View full documentation →

API Integration

Getting started with the Eden API

Authentication, rate limits, and full endpoint documentation are available in our developer portal.

Request an API Key

Academic researchers, NGOs, and government partners can request free API access. Commercial licensing available upon inquiry.

Developer Documentation

Complete API reference, code examples in Python and JavaScript, and best practices for production integrations.

Support & Community

Access our Slack community for technical support, share use cases, and collaborate with other developers.