Can my AI detect specific weed species in my soybean field from Taranis imagery?

Yes! Use the `get_weed_detections` tool with your field ID to get AI-detected weed infestations with species-level identification. Returns weed locations, estimated coverage area, species classification, growth stage, and herbicide resistance indicators. For a comprehensive view of all threats (weeds, diseases, pests, nutrients), use `get_detections` without a type filter.

How do I get scouting recommendations based on the latest flight imagery?

Use the `get_scouting_recommendations` tool with your field ID. Taranis AI analyzes the latest imagery, detected threats, crop growth stage, and field history to generate specific action items including ground truth verification locations, recommended scouting patterns, treatment suggestions, and priority levels. You can also use `get_threats` first to see the overall threat severity before reviewing recommendations.

What resolution imagery does Taranis capture and how often are flights conducted?

Taranis captures ultra-high-resolution imagery at sub-millimeter to centimeter level resolution using specialized drone and fixed-wing aircraft. Flight frequency depends on your monitoring plan and crop growth stage — typically every 7-14 days during critical growth periods. Use `get_flights` to see all flight history for a field, and `get_flight_imagery` to access specific imagery products (orthomosaics, DSM, NDVI maps) from any flight mission.

Taranis MCP Connector for Claude

A+

Access AI-powered crop scouting via Taranis — detect weeds, diseases, pests, nutrient deficiencies, and get scouting recommendations from ultra-high-resolution imagery.

12 tools Official Updated Jun 28, 2026 Official Vinkius Partner

More Details Connect to Claude

Connect your Taranis AI Scouting API to any AI agent and take full control of AI-powered crop threat detection, ultra-high-resolution imagery analysis, field scouting recommendations, and precision agriculture decision-making through natural conversation.

What you can do

Organizations — List all agricultural organizations and farms in your Taranis account
Field Management — View all monitored fields with crop types, boundaries, and growth stages
Flight History — Review all drone and aircraft flight missions with imagery acquisition dates
Flight Imagery — Access ultra-high-resolution orthomosaics, DSMs, and NDVI maps from each flight
All Detections — Get comprehensive AI-detected threats (weeds, diseases, pests, nutrients) in any field
Threat Summary — View consolidated threat severity assessments and trend analysis per field
Scouting Recommendations — Receive AI-powered action plans for targeted field scouting missions
Multispectral Analysis — Access NDVI, NDRE, and GNDVI vegetation indices for vigor assessment
Weed Detection — Identify specific weed species with coverage estimates and herbicide recommendations
Disease Detection — Detect crop diseases with severity levels and fungicide treatment suggestions
Nutrient Analysis — Identify nutrient deficiencies with variable rate fertilization recommendations

How it works

Subscribe to this server
Enter your Taranis API token (from the dashboard API settings)
Start analyzing crop threats from Claude, Cursor, or any MCP-compatible client

No more manual field scouting or delayed threat identification. Your AI acts as a dedicated precision agriculture analyst and crop health monitoring assistant.

Who is this for?

Farm Managers — detect crop threats early, prioritize scouting, and optimize treatment timing
Agronomists — analyze ultra-high-resolution imagery, identify weed species, and track disease progression
Crop Consultants — generate scouting recommendations, create treatment plans, and advise clients with data-driven insights
Ag Retailers — identify treatment opportunities, plan product applications, and demonstrate ROI with before/after imagery

precision-agriculturecrop-scoutingimagery-analysisthreat-detectionfield-managementcomputer-vision

12 tools expose this connector's capabilities to your AI agent.

get_fields

Returns field names, IDs, boundaries (GeoJSON polygons), area in hectares/acres, crop type, planting dates, and monitoring status. Essential for farm management overview and selecting target fields for threat detection. List all agricultural fields monitored by Taranis for a farm

get_clients

Returns client names, IDs, and associated farm counts. Use this after get_organizations to navigate the hierarchy: Organizations → Clients → Farms → Fields. List clients within a specific Taranis organization

get_detections

Returns detection locations (GPS coordinates), threat types, severity levels, confidence scores, and recommended actions. Get all AI-detected crop threats (weeds, diseases, pests, nutrient deficiencies) in a field

get_disease_detections

Returns disease locations, pathogen identification, severity levels, and recommended fungicide treatments. Get crop disease detections and severity assessments for a field

get_farms

Returns farm names, IDs, locations, and field counts. Use this after get_clients to navigate to specific farms before querying fields. List farms belonging to a specific client

get_field_details

Get detailed information about a specific agricultural field

get_map_layers

Returns layer metadata and download URLs. Essential for crop vigor assessment, variable rate application planning, and growth stage monitoring. Get map layers (NDVI, imagery, multispectral) for a specific field

get_nutrient_detections

Returns deficiency locations, severity estimates, and variable rate fertilization recommendations. Get nutrient deficiency detections and fertilization recommendations for a field

get_organizations

Returns organization names, IDs, contact information, and field counts. Essential for multi-account management, selecting target organizations for field analysis, and understanding the scope of monitored agricultural operations. List all organizations available to the user in Taranis platform

get_scouting_recommendations

Returns specific action items including verification locations, scouting patterns, and treatment suggestions. Get AI-powered scouting recommendations and action plans for a field

get_threats

Returns threat categories, overall severity ratings, affected area percentages, and priority rankings. Get consolidated threat summary and severity assessment for a field

get_weed_detections

Returns weed locations, estimated coverage area, species classification, and herbicide resistance indicators. Get specific weed species detections and infestation maps for a field

See how to talk to your AI agent using Taranis.

Show me all AI-detected threats in my corn field from the latest flight.

Analyzing latest flight detections for corn field (field ID: CF-2847)... Found 23 detections across 4 threat categories. WEEDS: 12 patches detected — Waterhemp (7 patches, 2.3% coverage), Palmer Amaranth (3 patches, 1.1%), Giant Ragweed (2 patches, 0.8%). DISEASES: 6 detections — Gray Leaf Spot (moderate severity, 4 locations), Northern Corn Leaf Blight (early stage, 2 locations). PESTS: 3 detections — Corn Rootworm adults (2 locations), European Corn Borer damage (1 location). NUTRIENTS: 2 nitrogen deficiency zones (1.5% combined area). Overall field health: Good with localized treatment needed. Top priority: Waterhemp patches in northeast quadrant. Would you like scouting recommendations for these detections?

Generate scouting recommendations for my soybean field this week.

Generating AI scouting recommendations for soybean field (field ID: SB-1923)... Priority 1 (HIGH): Verify Sudden Death Syndrome symptoms in southeast corner — 4 disease detections with moderate severity. Walk pattern: Entry at gate 3, follow east boundary south, check 4 GPS-marked locations. Priority 2 (MEDIUM): Scout for soybean aphids in north-central area — NDVI shows stress patches consistent with early aphid pressure. Priority 3 (LOW): Check nitrogen deficiency zones in western section — 3 small patches identified, consider in-season N application if economic threshold met. Recommended scouting time: 45-60 minutes. Best conditions: Morning hours, dry foliage. Would you like GPS coordinates for each scouting location?

What is the overall threat level and NDVI trend for my wheat field this season?

Analyzing wheat field (field ID: WH-5512)... Current threat level: MODERATE. Season summary: 3 flights completed, 18 total detections. Disease trend: Septoria tritici increasing from 2 to 6 detections over 3 flights — monitor closely. Weed trend: Annual ryegrass stable at 5 patches (1.8% coverage). Nutrient trend: Nitrogen deficiency decreasing after top-dress application — 3 zones down to 1 zone. NDVI trend: Flight 1 (0.45) — tillering stage, Flight 2 (0.68) — stem extension, Flight 3 (0.82) — current heading stage. Field performing above regional average. Recommendation: Continue disease monitoring, no immediate treatment required. Next flight scheduled in 10 days.