Smart Agriculture & IoT

Sensor-Based Environmental Monitoring & Control for Farms

Weather stations and field sensors track the conditions your crops grow in, and one platform turns those readings into alerts and automatic control from planting to harvest.

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Sensor-Based Environmental Monitoring & Control for Farms

Understand the field before you act

This module gives growers continuous environmental sensing and smart regulation across the full crop cycle. Weather stations and sensors log air temperature, humidity, soil moisture, light intensity, CO2 and rainfall in real time. A central platform displays the data, keeps historical trends and supports decisions based on evidence rather than routine. AI models for crop growth, water demand, fertilization and weather disaster warning convert the readings into forecasts, and the control layer connects them to field equipment for precise warnings, automatic control and precision farming. In Saudi Arabia, where heat, dust and water scarcity put constant pressure on crops, this is the foundation on which every other smart farming module is built.

Monitoring & Control Components

Smart Agricultural Weather Station

A solar-powered station installed in the field that logs the microclimate around the crop and uploads readings to the cloud platform as they are taken.

MeasuredTemperature, humidity, rain, wind, light, CO2
PowerSolar panel + battery
DataReal-time upload to the cloud platform
UseOpen field, orchard, greenhouse site

Features & full specifications

Key features

Continuous logging of air temperature, humidity, rainfall, wind speed and direction, light intensity and CO2
Solar panel with battery for sites without mains power
Real-time upload to the environmental data platform
Feeds the early-warning engine for frost, heat, drought and storm events
Pole-mounted design for open fields, orchards and greenhouse surroundings

Technical specifications

Measured	Temperature, humidity, rain, wind, light, CO2
Power	Solar panel + battery
Data	Real-time upload to the cloud platform
Use	Open field, orchard, greenhouse site

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Field & Greenhouse Sensor Network

A range of wireless sensors measuring air, soil and light conditions at crop level, all reporting to the same platform.

AirTemperature, humidity, CO2
SoilMoisture, temperature, conductivity
LightLight intensity
WeatherRainfall, wind

Features & full specifications

Key features

Air temperature and humidity sensors
Soil moisture, soil temperature and soil conductivity probes
Light intensity and CO2 concentration sensors
Rain gauge and ultrasonic wind sensor
Sensors can be combined freely to suit each field or greenhouse

Technical specifications

Air	Temperature, humidity, CO2
Soil	Moisture, temperature, conductivity
Light	Light intensity
Weather	Rainfall, wind

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Environmental Data Platform

One web platform that brings every station and sensor together, displays live values and history, and runs automatic control of connected equipment.

FunctionsMonitoring, trends, alarms, control
AccessWeb and mobile
DataAll sensors in one place
ControlRule-based automation

Features & full specifications

Key features

Data aggregation from all stations and sensors in one dashboard
Real-time monitoring with alarms for abnormal values
Historical curves and comprehensive analysis reports
Automated control rules for connected equipment such as irrigation, fans and shading
Access from computer or phone

Technical specifications

Functions	Monitoring, trends, alarms, control
Access	Web and mobile
Data	All sensors in one place
Control	Rule-based automation

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Agronomic AI Models

Agronomic models that convert measured data into forecasts and recommendations, linking what the sensors see to what the farm does next.

ModelsGrowth, water demand, fertilization, disaster warning
InputWeather, soil and crop data
OutputForecasts, alerts, recommendations

Features & full specifications

Key features

Crop growth model (WOFOST based) for growth simulation and yield outlook
Crop water demand model for irrigation planning
Crop fertilization model for nutrient recommendations
Meteorological disaster early-warning model for frost, heat, drought and storms

Technical specifications

Models	Growth, water demand, fertilization, disaster warning
Input	Weather, soil and crop data
Output	Forecasts, alerts, recommendations

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Early warning of weather events

Alerts for frost, heat, drought and storms arrive while there is still time to irrigate, ventilate, protect crops or move staff and machinery.

Less water and fertilizer

Soil moisture and weather data reveal what the crop actually needs, so irrigation and fertilization follow demand rather than a fixed timetable.

Better yield and quality

Steady growing conditions and timely action limit stress at sensitive crop stages, raising yield and the proportion of top-grade produce.

Lower labour and management costs

Remote readings and automatic control replace many manual checks, and alarms point staff only to the places that need attention.

Frequently Asked Questions

Which parameters can be monitored?

A typical system measures air temperature and humidity, rainfall, wind, light intensity, CO2, soil moisture, soil temperature and conductivity. The sensor mix is selected for each crop and site.

Can the system switch equipment automatically?

Yes. Platform rules can operate irrigation valves, pumps, fans, shading and other connected devices when readings cross set limits, and each action is recorded.

What do the AI models add?

The crop growth, water demand, fertilization and disaster warning models combine weather, soil and crop data to predict what comes next and suggest actions before problems develop.

Start with environmental monitoring

Share your crops, field sizes and current equipment. EnmaTech will design the sensor layout, propose a complete system and install and support it in Saudi Arabia.

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