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Precision & Digital Agriculture
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AgrAgent
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 IDLog2FCFDRStageRegulation
VIT_03s0063g01440+7.711.89e-16Shoot & Inflor.UP
VIT_01s0011g00140+6.761.37e-14Shoot & Inflor.UP
VIT_19s0014g03940+5.625.15e-15Shoot & Inflor.UP
VIT_10s0003g02070+4.931.74e-24Shoot & Inflor.UP
VIT_02s0025g00200+4.001.70e-14Shoot & Inflor.UP
VIT_12s0142g00360+3.991.68e-21Shoot & 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)
ComparisonMajor StageTissueReplicatesDown-regulatedUp-regulatedTotal DEGs
EL 3 → 5Shoot & Inflor.Flower bud6000
EL 3 → 15Shoot & Inflor.Flower bud8118495
EL 3 → 17Shoot & Inflor.Flower bud59180171
EL 3 → 27Berry dev.Flower2304214518
EL 3 → 31Berry dev.Grape berry64555901,045
EL 3 → 35RipeningGrape berry131,0525961,648
EL 3 → 36RipeningGrape berry42,2596342,893
EL 3 → 38RipeningGrape berry151,6756612,336
EL 3 → 41SenescenceFruit32,5638403,403

Image Analysis

Embrapa Wine Grape Instance Segmentation Dataset (WGISD)
Thiago T. Santos et al. · Embrapa · CC BY-NC 4.0 · github.com/thsant/wgisd
300Images
4,431Clusters
187KAnnotated berries
5Varieties
65 imágenes · 840 racimos anotados · 308 con máscara de instancia · Canon EOS REBEL T3i · 2048×1365px Click image to see annotations
📤 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
Dr. Francisco Altimiras
PhD in Computer Science
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
ResourceDescriptionUsage 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

Conversations

AgrAgent

Ask me about climate data, satellite imagery, soil analysis, irrigation planning, or any agronomic question about your fields.

AgrAgent

AgrAgent

Ask me about climate data, satellite imagery, soil analysis, irrigation planning, or any agronomic question about your fields.

✏️ Field Properties