Integrate satellite remote sensing, climate analytics, crop data, computer vision, and AI-powered agronomic recommendations in a single platform for any crop, anywhere.
Access genomic DEG data, yield models with full feature importance, published RNA-seq datasets, and peer-reviewed bibliographic search across 19,000+ INIA publications.
Upload soil or foliar reports and get instant recommendations. Calculate irrigation schedules and fertilization plans. Query the AI agent with real-time field context.
Draw your field polygon and instantly see NDVI, climate KPIs, frost alerts, yield predictions, and phenological stage calendar. No technical expertise needed.
A comprehensive suite of tools designed for researchers, agronomists, and farm managers to monitor and optimize crop production.
Sentinel-2 imagery via Google Earth Engine, cloud-free composites updated every 5 days, clipped to your exact polygon.
Real-time climate data from Open-Meteo for any location on Earth. No API key, no limits, no excuses.
Real RNA-seq differential expression data from Altimiras et al. (2024), published science directly in your browser.
State-of-the-art computer vision trained on WGISD (Embrapa). Upload your own image and get results in seconds.
PyCaret Extra Trees Regressor combining 15 satellite + climate features, updated automatically when you load a new polygon.
Claude-powered agent with real-time access to your field data, climate, satellite indices, and the full INIA Chile scientific library.
Upload your field boundaries, connect to satellite and climate data sources, and receive AI-powered recommendations.
| Source | Type | Access | Usage | Volume |
|---|---|---|---|---|
| Satellite imagery (10m) | Google Earth Engine | Vegetation indices, RGB composites | 13 índices · 10m · revisita 5 días | |
| Historical weather | Free | Temperature, precipitation, humidity, radiation, ET₀ | 7 variables · hasta 80 años históricos | |
| Crop images (300+) | Public dataset | Object detection annotations | 300+ imágenes · 5 variedades de uva | |
| Agricultural publications (19K+) | Open access | Agronomic bibliography, RAG semantic search | 19.146 documentos · boletines · revistas | |
 RNA-seq (Altimiras et al. 2024) |
Genomic DEG data | Published | 3,603 DEGs across 8 phenological stages | 68 muestras · 1.336M reads · 87 GB |
| Academic literature (250M+) | Open access | Peer-reviewed papers, citations, abstracts | 250M+ papers · 200+ countries · all disciplines | |
| Agricultural literature (16.5M+) | Open access | Grey literature, regional reports, Latin America | 16.5M+ records · 258 languages · 1975-present | |
| Agricultural statistics | Free | Production, yield, harvested area by country | 245 countries · 200+ crops · 1961-present | |
| Preprints (agricultural sciences) | Open access | Pre-publication research, rapid knowledge transfer | Open preprints · CAB International · 2017-present | |
| Curated research databases | Open access | Agricola, AGRIS, data repositories, statistics | 100+ sources · USDA NAL · CAB · FAOSTAT |
agragent is grounded in published scientific research in precision & digital agriculture.
NIDS, Universidad de Las Américas · PUCV · UC Davis · Fraunhofer IAIS · Lamarr Institute
agragent works with any crop and any location worldwide. No installation required.
