What sensor types can GrowGuard handle?

GrowGuard works with LoRaWAN, NB-IoT and MQTT sensors for temperature, humidity, EC, pH, battery, soil temperature, soil moisture, and other compatible payloads interpreted dynamically.

Can I import an existing TTN application by API?

Yes. GrowGuard can connect to an existing TTN application by API, import its devices, and keep them synchronized in the platform.

What does GrowGuard AI include?

AI Plant ID combines visual identification for plants, insects, and crop health with user notes, local context, and platform history.

How does AI help with phytosanitary alerts?

GrowGuard can explain a disease-risk alert using forecast data, local sensors, and crop profile context so the user understands why risk increased and what should be checked.

Can I control which menus each user sees?

Yes. Administrators can enable or hide menus per user, including sensor map, AI Plant ID, forecast, alerts, sensor onboarding, calculators, and export.

How does GrowGuard use location for the sensor map?

Location is used only when the user explicitly chooses to save or adjust a sensor position on the map. GrowGuard does not continuously track the user's location.

Which calculators are available inside the platform?

The platform includes a production calculator, dilution calculator, VPD, light and DLI tools, alkalinity, fertilizer ppm, and nutritional monitoring tools.

For European greenhouses, orchards, vineyards, and high-value crops

Real-time crop intelligence for every growing decision.

GrowGuard brings sensors, forecast, AI-assisted alerts, sensor maps, crop intelligence, reports, and team workflows into one platform for modern horticulture. Monitor climate, soil, disease pressure, and crop status across greenhouses, flower production, vegetable crops, orchards, and vineyards from your phone, tablet, or desktop.

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Climate, soil, and crop risk monitoring LoRaWAN, NB-IoT, MQTT, and TTN API AI-assisted alerts, payloads, and Plant ID Built for greenhouse, orchard, and vineyard teams

GrowGuard live dashboard with sensors and current priorities

One operational flow

Live monitoring, sensor map, per-device alerts, forecast, Excel export, history, team access, and per-user menus.

GrowGuard presentation

A quick look at the platform for monitored crops.

This video shows how GrowGuard connects sensor data, timely alerts, and operational decisions for greenhouses, tunnels, orchards, vineyards, and high-value horticultural crops.

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Air and soil sensors, without mixing the readings

Each device only shows what it truly reports: air temperature and RH for atmospheric sensors, EC, pH, soil temperature, and soil moisture for root-zone probes.

Fast alerts on push, email, and AI explanations

Device thresholds, phytosanitary events, and offline states can trigger notifications with custom sounds. For disease-risk alerts, AI can explain the contributing factors: forecast, humidity, temperature, crop profile, and local sensors.

Forecast with crop context

See temperature, cloud cover, humidity, and disease-relevant weather context for the next days directly inside the platform.

AI for identification, diagnosis, and risk interpretation

Users can submit images and notes, while AI Plant ID combines plant, insect, and crop-health identification with local context and history into clearer guidance for diseases, pests, stress, or nutrition problems. For phytosanitary alerts, AI translates risk into operational language without replacing specialists or product labels.

Production calculator and horticultural calculation tools

Track multiple crops in parallel, add categorized expenses, see cost per unit, sales, and profit, then send the Excel report directly by email. The dilution module complements daily greenhouse operations, while the VPD, light, DLI, alkalinity, fertilizer, and nutritional monitoring tools stay in the same workspace.

Team access, TTN API import, and self-service sensor onboarding

Invite colleagues, choose which devices each user can see, register any TTN-compatible LoRaWAN sensor directly from the app, or connect an existing TTN application by API and import the active devices into GrowGuard. For NB-IoT/LTE sensors, the user enters the IMEI and points the device to the GrowGuard TCP endpoint. For MQTT, GrowGuard generates a unique topic with a safety token, then interprets JSON payloads dynamically. For new models, AI can propose mappings for temperature, humidity, battery, EC, pH, or soil fields, only after user validation.

Sensor map with user-controlled positioning

See sensors on a map, switch between standard and satellite layers, and save a device position only when the user explicitly chooses it. Phone location is not tracked continuously and is not used for advertising.

Available menus configured from admin

Administrators can leave each user with exactly the workflows they need: subscription, team, map, forecast, AI Plant ID, LoRaWAN/NB-IoT/MQTT sensors, orders, calculators, export, or specialty information.

Crop intelligence for plans, steering, and reports

Build the crop plan, choose the goal, review deviations against useful ranges, get GrowGuard AI recommendations, log scouting notes, create recurring or team tasks, assign them to teammates with deadlines, trigger notifications, and export an Excel table with owner, assignee, comments, and Google Drive photo links. Demo works partially without sensors; Premium adds live LoRaWAN, NB-IoT, and MQTT readings to the recommendations.

Map + crop + AI

The sensor map, crop intelligence, AI Plant ID, AI-explained phytosanitary alerts, and payload mapping add operational context on top of raw field data.

GrowGuard crop priorities and deviations

Built for European growers

From greenhouse climate to vineyard disease pressure, keep the context together.

The campaign should speak to real horticulture workflows: protected crops, flower production, vegetables, orchards, vineyards, and teams that need fast decisions from live data.

Protected crops Track microclimate, humidity periods, VPD, root-zone readings, and greenhouse stability.

Orchards Use local weather, wetness and forecast context for scab, fire blight, monilinia and stress windows.

Vineyards Follow downy mildew, powdery mildew and Botrytis pressure with crop-specific context.

Team operations Assign tasks to teammates, add deadlines, receive photos on completion, and export the work log to Excel.

Operational AI in GrowGuard

AI is not isolated from farm work. It explains alerts and helps onboard sensors.

Visitors should understand the practical use: GrowGuard applies AI where it saves time and removes ambiguity. Disease-risk alerts get explanations, and sensor payloads can receive proposed mappings, always with human validation.

AI phytosanitary alerts AI explains why risk exists for Botrytis, downy mildew, powdery mildew, scab, or root stress and which factors contributed.

Local sensors + forecast An alert can combine forecast with locally measured temperature, humidity, or wetness instead of relying only on generic weather data.

AI sensor value detection For TTN, MQTT, LoRaWAN, or NB-IoT payloads, AI proposes fields for temperature, RH, battery, EC, pH, or soil readings.

Control and safety AI does not invent readings or prescribe treatments. Users validate mappings and important decisions stay with growers or specialists.

GrowGuard solutions

Focused pages for what growers and agricultural teams search for.

GreenhousesGreenhouse monitoring from your phone. Sensor mapSee your sensors on the map and navigate to each point. AlertsAlerts when crop conditions move outside your limits. AI disease alertsAI-explained phytosanitary alerts, not just raw notifications. Farm IoTOne app for LoRaWAN, NB-IoT and MQTT sensors. AI payloadsAI helps map sensor values from raw payloads. AI Plant IDAssisted identification for plants, pests, and crop health.

Floriculture

Supports Botrytis pressure, powdery mildew, root-zone stress, high humidity periods, and greenhouse microclimate stability.

Vegetable growing

Tracks downy mildew risk, fungal pressure, forecast windows, and the root environment that drives fertigation decisions.

Orchards

Gives context for scab, fire blight, monilinia, and the humidity and drying cycles that matter in tree crops.

Viticulture

Supports grape downy mildew, powdery mildew, Botrytis on clusters, and weather-sensitive vineyard monitoring.

GrowGuard platform

From sensor reading to operational decision, without losing context.

The Android, iOS, and web experience was designed for daily work: live dashboard, device detail, sensor map, charts, forecast, alerts, export, and administration.

Custom card ordering and aliases for each device
Cross-farm metrics pages for quick scanning
Crop intelligence with plan, steering, 72h risk, scouting, personal and team tasks, journal, and GrowGuard AI recommendations
Sensor map with voluntary positioning, satellite layer, and device navigation
AI Plant ID with plant, insect, crop-health identification, AI history, and operational explanations
AI-explained phytosanitary alerts based on forecast, crop profile, and local sensors where data exists
AI sensor value detection for TTN, MQTT, LoRaWAN, and NB-IoT payloads, with validation before saving
Production calculator and tools for dilution, VPD, DLI, alkalinity, and fertilizer workflows
Team invitations, per-user pricing, device-level access control, available menus, and tasks assigned directly to teammates
TTN API connection, device import, LoRaWAN self-service, NB-IoT/LTE IMEI assignment, and dedicated MQTT topics
Google Play, App Store, and Stripe subscriptions, Demo for partial work without sensors, and Premium integrations for LoRaWAN, NB-IoT, MQTT, AI, alerts, and teams