01
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.
For greenhouses, farms, orchards, and vineyards
You see crop pressure before it becomes crop loss.
GrowGuard connects real-world sensors, live sensor map, crop intelligence, forecast, AI-explained phytosanitary alerts, AI Plant ID, production cost calculation, dilution calculation and horticultural tools, TTN API import, invited team members, and admin-controlled menus into one operating layer for floriculture, vegetables, orchards, and viticulture. For new sensors, AI can also help detect useful values inside TTN, MQTT, LoRaWAN, or NB-IoT payloads, with user validation before saving.
LoRaWAN, NB-IoT, MQTT, and TTN API
Crop intelligence and steering
AI disease alerts, payloads, and Plant ID
Android, iOS, and web
Air temp19.1 °C
RH77.1 %
Disease pressuremedium
One operational flow
Live monitoring, sensor map, per-device alerts, forecast, Excel export, history, team access, and per-user menus.
Real capabilities
Monitoring, analysis, and action in the same place.
GrowGuard is not just another dashboard. It connects field and greenhouse sensors with forecast, sound-enabled alerts, AI explanations, phytosanitary intelligence, and team administration.
02
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.
03
Forecast with crop context
See temperature, cloud cover, humidity, and disease-relevant weather context for the next days directly inside the platform.
04
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.
05
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.
06
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.
07
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.
08
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.
09
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 tasks, and send quick email/PDF reports. 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.
Live update
The Android app now carries the same important workflows as iOS and web.
GrowGuard is up to date for team operations: Google sign-in, native subscriptions, sensor map, expanded AI Plant ID, and menu-level access control.
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.
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.
Crop profiles
Built for the fact that every crop behaves differently.
GrowGuard already models floriculture, vegetable crops, orchards, and vineyards differently so forecast, local sensors, and AI explanations for alerts can stay grounded in reality.
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.
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, 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, and available menus for each account
- 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
24/7continuous monitoring
5AI flows: plant, insects, crop health, disease, payload
20+menus controllable from admin
Demoinitial access for new users
Real product screens
Built for daily operation, not just for a polished demo.
Every image below comes from the live GrowGuard product: device detail, forecast, Excel export, notifications, interpretation guides, phytosanitary modelling, and operational AI flows.
If your crop needs context, not only numbers, GrowGuard is ready.
Open the platform if you are already inside the GrowGuard ecosystem, or use the shop to configure sensors, services, and plans for your next installation.