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Agricultural “Four Conditions” Monitoring System Solution

The agriculture "Four conditions" monitoring system

The "Four Condition" Monitoring and Early Alert System for Agriculture (or Agroforestry), integrates the latest wireless sensor technologies, IoT platforms, big data and Internet technologies. It covers four key aspects of agricultural monitoring, including: soil humidity, crop growth dynamics, pest dynamics and climate (disasters).


Soil moisture sensors

Soil Moisture Monitoring

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Pest and Disease Monitoring

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Weather station for disaster monitoring

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Video Surveillance


The system is composed of:

  • Soil moisture sensors

  • Cameras for monitoring crop growth and disasters

  • Intelligent insect trap lamps

  • Network digital cameras

  • Crop physiological and ecological monitoring devices

  • Early warning system and forecasting

  • Expert Knowledge Base

  • Platform for integrated information management

The platform is accessible to all users via mobile, PC or clients , allowing them to manage, monitor and analyze real-time data. The key parameters are:

  • Pest and disease conditions, disaster conditions, crop growth status

  • Air temperature, humidity dew point soil temperature and light intensity

The system allows remote diagnostics, intelligent decision making, and automated management by combining monitoring data, expert models, crop library, and disaster indexes. It is the "eyes, stethoscope and computer" for agricultural technicians.

Core Features

1. Cloud Platform - Unified Data Access

  • 3D visualisation of farmland: all monitoring points displayed in a simple interface.

  • Soil data: Temperature, moisture, salinity, pH.

  • Data on the weather: Temperature, humidity, precipitation, solar radiation and wind speed.

  • Pest Data: Images of pests, insect counts and automatic classification.

  • Plant data: Fruit expansion, stem diameter variation, leaf temperature.

  • Status of equipment: Pumps, valves and water meters. Lighting, curtain motors.


    agriculture platform-bgt

Users can choose fields, crops and sensors. They can also select the display format (charts or lists) and the time period (daily weekly monthly). Remote commands allow automated photo capture of traps and real-time upload. This eliminates the need for field inspections.

Other features

  • Automatic insect identification and counting

  • Display of historical data in the form of curves and reports

  • High-resolution, optical microscope that captures spore images and automatically focuses. This allows for 24/7 monitoring of spores without the need to be present.

2. Pest and Disease Monitoring

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  • Intelligent insect monitoring devices enable eco friendly pest trapping and transmit images via GPRS/3G into the cloud.

  • Instant or scheduled photography is possible with the remote control. Images are stored automatically in the Pest database to allow expert analysis.

  • The system provides timely pest prevention strategies by supporting real time remote diagnosis.

3. Soil Moisture Monitoring

  • Long-term continuous soil water content (soil moisture content) measurements.

  • Flexible deployment of sensors for soil profiles analysis.

  • Expandable with additional sensors to measure soil temperature, EC, pH, groundwater quality and quantity, and meteorological parameters.

  • This soil condition data is used to assist in drought management and agricultural disaster mitigation.

4. Video Surveillance

  • 360deg dome infrared cameras to monitor crop growth and machinery.

  • Supports preset points for rapid video switching.

5. Remote control & Task Automation

  • Fully automated irrigation, fertilization and ventilation.

  • The system will automatically perform field operations.

  • The remote control of agricultural machinery, irrigation systems and greenhouses increases efficiency and reduces the labor force.

Mobile & Remote Management

  • Accessible via on a smartphone, tablet and PC.

  • Anywhere, anytime remote control and monitoring is available.

Data Collection & Sensor Network

Key Devices

  1. Remote Photo-Capture Pest Trap Lamp

    • Automated insect collection and photo documentation

    • Workload is reduced and worker safety improved.

  2. Remote Photo Capture Spore Trap

    • Collect airborne fungal pollen and spores for disease prediction.

    • This tool provides critical information for preventing epidemics of crops.

  3. Wireless Field Weather Station

    • Up to 17 parameters can be configured (soil temperature, moisture in the soil, solar radiation, windspeed, etc.). ).

    • Features remote configuration, solar power and an integrated camera to monitor crops in real time.

  4. Soil and Environmental Sensors

    • Stainless Steel Probes: High-durability, outdoor and greenhouse uses.

    • Sheet-type sensors: Suitable for precision farming, long-term indoor/outdoor use.

    • Stripe-type sensors measures soil moisture in sections of 3-10m, and provides averaged data.

    • Tube type sensors: Measure soil water simultaneously at multiple depths.

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Benefits

  • Real time monitoring crop growth, pests and soil conditions

  • Automated agriculture operations

  • Remote diagnosis, decision support and powered with IoT and expert system

  • Unmanned 24/7 monitoring of spores and pests

  • Customizable and scalable for different crops, regions and management needs

The Agricultural "Four Conditions Monitoring System" empowers farmers and agricultural professionals to move away from manual inspection and toward data driven, intelligent and automated farm management.

Working Principles

  1. Light Control:

    • When ambient light intensity remains ≥4 lux for 1 minute, the system enters standby mode (circuit contact opens).

    • When light intensity drops <4 lux for 1 minute, the circuit closes, and the light activates for operation.

  2. Rain Control:

    • Upon detecting rainfall (humidity >95%), the rain sensor triggers the controller to activate the drainage system, preventing rainwater from entering the insect collection channel. Water is diverted to the drainage outlet. After rain stops, the system resumes nighttime operation and enters standby during daylight.

  3. Insect Trapping:

    • Insects are lured by UV lights, collide with a glass screen, and fall into a funnel before entering an infrared-treated chamber.

  4. Insect Processing:

    • Insects are killed via infrared heating within 3–5 minutes of contact. To prevent accumulation, the chamber’s lower door opens periodically to drop processed insects into a collection box. A dual-stage heating cycle ensures complete extermination.

  5. Insect Collection:

    • At dawn or user-defined intervals, the rotating tray shifts to the next collection box.

System Features

  • Infrared Processing: ≥98% insect mortality rate with intact specimen preservation.

  • Smart Pest Identification: Remote automated photography with wireless image transmission to the platform; historical data images are timestamped and stored.

  • Automatic Rainwater Separation: Integrated drainage system prevents rainwater interference.

  • GPS Positioning: Enables remote configuration, real-time monitoring, theft prevention, and geospatial device mapping.

  • Self-Cleaning Mechanism: Vibrating + brushing design ensures no cross-contamination between collected insects.

  • Integrated Cloud Platform: Unified IoT solution for data collection, remote control, analytics, and early warnings.

Platform Features

  1. GIS Mapping: Geospatially locates devices on a map with integrated anti-theft functionality.

  2. Real-Time Monitoring: Tracks device status (light/rain/temperature controls, heating, door status, signal strength, data usage) for troubleshooting and predictive maintenance.

  3. Adaptive Operation:

    • Automatic hibernation during extreme temperatures to extend lifespan.

    • Three working modes (standard, energy-saving, intensive) and customizable schedules for insect collection, heating, and temperature.

  4. Environmental Analytics: Displays real-time air temperature, humidity, chamber temperature, GPS coordinates, and data timestamps. Historical data is visualized via charts and line graphs to support trend analysis and pest outbreak forecasting.


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