Smart Agriculture & IoT

Sensor-Based Environmental Monitoring & Control

Weather stations and sensors measure the conditions crops grow in, and the platform turns them into alerts and automatic control across the whole production cycle.

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Sensor-Based Environmental Monitoring & Control

Knowing the field before acting on it

This module provides environmental sensing and intelligent regulation throughout the crop production cycle. A network of weather stations and sensors records air temperature, humidity, soil moisture, light intensity, CO2 and rainfall in real time. A central platform visualises the data, shows historical trends and supports data-driven operation. AI models for crop growth, crop water demand, fertilization and meteorological disaster warning turn the readings into forecasts, and the functional layer links them to connected equipment for precision disaster warning, automatic control and precision farming. It is the foundation that the other smart farming modules build on.

ASFAN designs and installs environmental monitoring and control systems for farms, greenhouses and research stations across the UAE.

Monitoring & Control Components

Smart Agricultural Weather Station

Solar-powered field station that records the microclimate around crops and sends readings to the cloud platform in real time.

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 family of wireless sensors that measure air, soil and light conditions at crop level and report 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

A central web platform that gathers every station and sensor, shows live values and historical trends and drives automated control.

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

Models that turn the measured data into forecasts and recommendations, closing the loop between sensing and action.

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 disasters

Frost, heat, drought and storm alerts arrive while there is still time to irrigate, ventilate, cover crops or move workers and equipment.

Reduced water and fertilizer use

Soil moisture and weather data show the real crop demand, so irrigation and fertilization follow need instead of fixed schedules.

Improved yield and quality

Stable growing conditions and timely interventions reduce stress at critical crop stages, improving both yield and the share of top-grade produce.

Lower labour and management costs

Remote readings and automatic control replace many manual checks, and alarms draw attention only where action is needed.

Frequently Asked Questions

Which parameters can be monitored?

Typical installations measure air temperature and humidity, rainfall, wind, light intensity, CO2, soil moisture, soil temperature and conductivity. Sensors are chosen to suit each crop and site.

Can the system control equipment automatically?

Yes. Rules on the platform can switch irrigation valves, pumps, fans, shading and other connected devices when readings pass set limits, and every action is logged.

How do the AI models help?

The crop growth, water demand, fertilization and disaster warning models combine weather, soil and crop data to forecast what will happen next and recommend actions before problems appear.

Start with environmental monitoring

Share your crops, field sizes and existing equipment. ASFAN will design the sensor layout and propose a complete system.

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