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Voice-First + AgriTech

Voice-First Technologie for Smart Agriculture

We build voice interfaces and IoT systems for the agricultural sector. Control irrigation, monitor crops and manage plots with voice commands, no screen needed. Technologie designed for the field.

The challenge

Agriculture needs interfaces that work with your hands in the dirt

The agricultural sector is one of the most physically intensive. Farmers operate with their hands busy, under the sun, wearing gloves, aboard machinery. Traditional screen-based interfaces don't fit this context. Voice-first technology eliminates that barrier: it allows interaction with complex irrigation, monitoring and field management systems using only your voice. It is the natural interface for the field.

Precision agriculture generates enormous amounts of data: soil moisture sensors, weather stations, drone imagery, irrigation data, nutrient analysis. But this data is only useful if the farmer can access it at the moment and place where decisions are made: in the field, at the plot edge, during the working day. A mobile app with complex dashboards doesn't solve this problem when your hands are dirty or you're driving a tractor.

Voice-first technology transforms the farmer's relationship with their data. Instead of opening an app, navigating menus and reading charts, you simply ask: "How much water has plot 7 received this week?", "Activate irrigation in the north sector for 45 minutes", "What's the rain forecast for tomorrow?". The system responds by voice, executes commands and confirms actions. No screen, no stopping work.

At Soamee we have developed smart agriculture solutions for companies like Spherag and WaterScan, which monitor the water status of crops with IoT sensors and computer vision. We know the sector's technical challenges: limited connectivity in rural areas, integration with field hardware, robust interfaces that work in adverse conditions and AI models adapted to the specific characteristics of each crop type and terrain.

0

Screens needed

-35%

Water consumption

10x

Query speed vs app

4G/LoRa

Field connectivity

Anwendungsfälle

Voice-first applied to agriculture

Lösungen combining voice interfaces, IoT and data analytics to transform agricultural management.

Voice-controlled irrigation

Activate, deactivate and schedule irrigation for any sector or plot with a voice command. The system integrates with your existing valves and irrigation controllers, allowing flow, duration and frequency adjustments without touching a screen. Compatible with drip, sprinkler and pivot irrigation. Includes voice confirmation and automatic logging of all actions for traceability.

Real-time IoT monitoring

Network of soil moisture, temperature, solar radiation and flow sensors connected via LoRaWAN or 4G. Data is processed in the cloud and available via voice query: "What is the moisture in plot 3?", "Did it rain on the farm last night?". Automatic alerts when values go outside optimal ranges. Complementary web dashboard for historical analysis.

Automated alerts

Intelligent alert system that notifies by voice, SMS or push about critical events: frost risk, detected water stress, irrigation system failures, pests identified by computer vision or adverse weather conditions. Alerts are prioritized by urgency and estimated economic impact. Configurable by zone, crop and threshold.

Screenless plot management

Query and update your plot information with voice commands: area, current crop, phenological stage, applied treatments, irrigation history and harvest forecast. Record phytosanitary treatments, tasks and observations by dictating instead of typing. The digital field notebook updates automatically in compliance with current regulations.

Contextual weather prediction

Hyperlocal weather prediction models combined with your field sensor data. Rain, temperature, humidity and wind forecasts specific to each farm. Query by voice: "Will it rain in the nächste sein 3 days on the Badajoz farm?". The system cross-references the forecast with irrigation needs to suggest automatic adjustments.

AI for crop optimization

Machine learning models that analyze historical yield, weather, irrigation and treatment data to optimize agronomic decisions. Irrigation recommendations based on actual crop water status, disease prediction and harvest estimation. The farmer queries recommendations by voice and decides whether to apply them with a simple "yes" or "no".

Want to bring voice-first technology to your farm?

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Technologien

Technologien we use

Specialized stack for IoT, voice processing and agricultural data analytics.

Whisper ElevenLabs Claude API OpenAI GPT-4 Python FastAPI Node.js React Native LoRaWAN MQTT AWS IoT Core Grafana InfluxDB PostgreSQL TensorFlow Docker Kubernetes Twilio Google Cloud Speech Raspberry Pi
FAQ

Häufig gestellte Fragen about voice-first agriculture

Does voice-first technology work in rural areas with poor coverage?
Yes, we design solutions accounting for rural connectivity realities. We use low-power protocols like LoRaWAN for IoT sensor networks, achieving several kilometers of range with minimal energy consumption. For voice commands, we implement on-edge processing that works with intermittent 3G/4G connections. Critical commands (like activating or deactivating irrigation) are processed locally and synced to the cloud when connectivity is available. The system can also work via voice SMS or phone call as a fallback when there's no mobile data.
Does it integrate with my existing irrigation system?
Yes, we integrate with major irrigation controller manufacturers (Netafim, Rain Bird, Hunter, Galcon, Talgil) through their APIs or industrial protocols (Modbus, MQTT). We don't replace your existing irrigation hardware but add a voice control and AI layer on top of it. For older installations without connectivity, we can add IoT control modules that connect to your solenoid valves and enable remote and voice control.
What type of IoT sensors are needed?
Sensor requirements depend on the crop and objectives. The most common sensors are: soil moisture probes at different depths (capacitive or TDR), compact weather stations (temperature, humidity, radiation, wind, rainfall), flow meters for monitoring actual irrigation and pressure sensors in the irrigation network. Alle connected via LoRaWAN with 2-5 year battery life. We work with manufacturers like Sentek, Decagon, Davis and proprietary solutions based on open source hardware to optimize costs.
How much does a voice-first solution cost for my farm?
Cost varies based on acreage, number of plots and solution complexity. A basic voice irrigation control implementation with IoT monitoring for a medium-sized farm can start from 15,000-25,000 euros including hardware, software and deployment. More comprehensive solutions with AI prediction, field notebook management and multiple farms range between 30,000 and 60,000 euros. Typical ROI is achieved in the first or second growing season thanks to water savings (20-35%), reduced supervision hours and optimized treatments.
Does the AI understand agricultural vocabulary and regional crop varieties?
Yes. The language models we use (Claude, GPT-4, Whisper) understand technical agricultural vocabulary. Additionally, we train the system with your farm's specific vocabulary: plot names, crop varieties, irrigation systems and local terminology. Voice recognition progressively adapts to the user's accent and expressions. In tests with real farmers, comprehension rates exceed 95% after the first week of use.
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