
Welcome to AgrAgent
Mark your field on the map to get started. We'll show you satellite images, weather data, and a harvest forecast for your vineyard.
1️⃣ Go to Field Map
2️⃣ Upload a file or draw your field boundaries
3️⃣ All data updates automatically
Satellite Maps
Satellite Connection
Connecting to satellite images...
📍
💡 Satellite images updated every 5 days · High resolution (10m) · Cloud-free
🌿 Plant Vigor
🧪 Crop Health
💧 Water
🟫 Soil
🎨 Photo
GEE Activo
Loading GEE imagery...
🗺️
Drop your KMZ/KML file here
NDVI — Índice de Vegetación
0.0 (Sin veg.)0.30.60.80.9 (Alta)
Fórmula: (NIR − RED) / (NIR + RED) · Bandas B8, B4
Active layers
0 capas
Upload a KMZ/KML or draw to add layers.
🛰️ Sentinel-2 · OpenStreetMap base · GEE connected
Climate Data
Mark your field on the map to see weather and climate data for your area.
Annual GDD
—
Growing Degree Days (base 10°C)
Chill Hours
—
Hours 0–7.2°C (Apr–Sep)
Frost Days
—
Days with Tmin ≤ 0°C
Heat Waves
—
≥3 consecutive days >35°C
Dry Months
—
<30mm precipitation
Avg Humidity
—
Avg Humidity (%)
Total Solar Radiation
—
MJ/m²
Total ET₀
—
Evapotranspiration (mm)
Monthly Temperature (Min/Max) — 12-Month Season
Monthly Precipitation (mm)
Monthly Relative Humidity (%)
Monthly Solar Radiation (MJ/m²)
Monthly Evapotranspiration ET₀ (mm)
Growing Degree Days (GDD) Accumulation
Historical Analysis (2015–2026)
Annual GDD Comparison by Season
Annual Precipitation by Season (mm)
Average Temperature by Season (°C)
Frost Days per Season
Heat Stress Days per Season (>35°C)
Season Comparison Table
Upload a polygon to load historical data.
Genomic Analysis
Total Reads
1,336M
68 RNA-seq samples
Data Processed
87.0 GB
FASTQ files
Phenological Stages
8
E-L 3 → E-L 41
Unique DEGs
3,603
FDR < 0.05 (edgeR)
DEGs per Stage & Accumulation (vs. E-L 3 baseline)
Top Differentially Expressed Genes by Stage
| Gene ID | Log2FC | FDR | Stage | Regulation |
|---|---|---|---|---|
| VIT_03s0063g01440 | +7.71 | 1.89e-16 | Shoot & Inflor. | UP |
| VIT_01s0011g00140 | +6.76 | 1.37e-14 | Shoot & Inflor. | UP |
| VIT_19s0014g03940 | +5.62 | 5.15e-15 | Shoot & Inflor. | UP |
| VIT_10s0003g02070 | +4.93 | 1.74e-24 | Shoot & Inflor. | UP |
| VIT_02s0025g00200 | +4.00 | 1.70e-14 | Shoot & Inflor. | UP |
| VIT_12s0142g00360 | +3.99 | 1.68e-21 | Shoot & Inflor. | UP |
🧬 Gene Ontology Enrichment
Click any Gene ID in the tables above to view its GO annotations and protein structure.
GO Term Frequency in DEGs:
Press Compute from UniProt to fetch real GO annotations for all genes in the DEG tables.
🔬 Gene Detail Viewer
👆
Click a VIT_ gene ID in any table to see:Gene Ontology annotations · UniProt protein info · AlphaFold 3D structure
Differential Expression Summary — All Comparisons vs. E-L 3 (Baseline)
| Comparison | Major Stage | Tissue | Replicates | Down-regulated | Up-regulated | Total DEGs |
|---|---|---|---|---|---|---|
| EL 3 → 5 | Shoot & Inflor. | Flower bud | 6 | 0 | 0 | 0 |
| EL 3 → 15 | Shoot & Inflor. | Flower bud | 8 | 11 | 84 | 95 |
| EL 3 → 17 | Shoot & Inflor. | Flower bud | 5 | 91 | 80 | 171 |
| EL 3 → 27 | Berry dev. | Flower | 2 | 304 | 214 | 518 |
| EL 3 → 31 | Berry dev. | Grape berry | 6 | 455 | 590 | 1,045 |
| EL 3 → 35 | Ripening | Grape berry | 13 | 1,052 | 596 | 1,648 |
| EL 3 → 36 | Ripening | Grape berry | 4 | 2,259 | 634 | 2,893 |
| EL 3 → 38 | Ripening | Grape berry | 15 | 1,675 | 661 | 2,336 |
| EL 3 → 41 | Senescence | Fruit | 3 | 2,563 | 840 | 3,403 |
Image Analysis
📤 Analyze your own image
Drag or click to upload a vineyard image
Accepts .jpg · .png · .tiff — Max 50MB
Yield Prediction
🍇
Mark your field to see your harvest forecast
Go to Field Map and draw your vineyard boundaries. We'll calculate estimated yield, total production, and the best harvest date.
References & Credits
Author
FA
Associated Publications
Transcriptome Data Analysis Applied to Grapevine Growth Stage Identification
Francisco Altimiras, Leonardo Pavéz, Alireza Pourreza, Osvaldo Yañez, Lisdelys González-Rodríguez, José García, Claudio Galaz, Andrés Leiva-Araos, Héctor Allende-Cid
Agronomy, 14(3), 613, 2024
A Computational Framework for Crop Yield Estimation and Phenological Monitoring
Francisco Altimiras, Sofía Callejas, Rayner de Ruyt, Natalia Vidal, Astrid Reyes, Mia Elbo, Luis Martí, Nayat Sánchez-Pi
Progress in Artificial Intelligence, EPIA 2024. LNCS vol. 15400, pp. 161–174, Springer, 2025
agragent: A Multimodal AI Platform for Integrated Computational Crop Monitoring
Francisco Altimiras, Leonardo Pavéz, Alireza Pourreza, Héctor Allende-Cid
White Paper, 2026 · NIDS, Universidad de Las Américas · PUCV · UC Davis · Fraunhofer IAIS · Lamarr Institute
Datasets & Data Sources
| Resource | Description | Usage in agragent |
|---|---|---|
| WGISD | Wine Grape Instance Segmentation Dataset (Embrapa). 300+ images, 5 varieties, YOLO bounding boxes. Santos, T.T. et al. Computers and Electronics in Agriculture, 2020 |
Image Analysis section |
| Sentinel-2 SR | COPERNICUS/S2_SR_HARMONIZED — 10m multispectral satellite imagery via Google Earth Engine | Satellite Maps (NDVI, EVI, SAVI, MSAVI, NDRE, GNDVI, TCARI, CIre, NDMI, NDWI, BSI) |
| Open-Meteo | Free open-source weather API — historical daily temperature and precipitation | Climate Data section |
| RNA-seq (ArrayExpress) | 68 Vitis vinifera samples across 8 E-L stages. Processed with Salmon + edgeR pipeline | Genomic Analysis section |