Precision Agriculture Water-Fertilizer Integration Intelligent Control System
Built on RTU remote terminals and intelligent sensor networks, this precision water-fertilizer management system enables automated decision-making, precise execution, and performance evaluation of irrigation and fertilization, helping achieve 30%+ water savings and 25% fertilizer use efficiency improvement.
Overview
Summary
Built on RTU remote terminals and intelligent sensor networks, this precision water-fertilizer management system enables automated decision-making, precise execution, and performance evaluation of irrigation and fertilization, helping achieve 30%+ water savings and 25% fertilizer use efficiency improvement.
Solution Details
Precision Agriculture Water-Fertilizer Integration Intelligent Control System
Precision agriculture water-fertilizer integration deeply combines irrigation with fertilization through automated control systems. Based on crop water and nutrient demand patterns, soil moisture conditions, and weather data, it achieves timed, quantified, and targeted precision supply. Ecolor Technology, with deep expertise in water resource metering and automation control, provides a comprehensive water-fertilizer integration solution from sensing to decision-making layers.
System Architecture
Sensing Layer - Multi-Source Data Collection
Soil Monitoring:
- Multi-depth soil moisture/temperature/EC sensors (10cm/20cm/40cm profile monitoring)
- Real-time soil pH and electrical conductivity measurement
- Online detection of available soil nitrogen, phosphorus, and potassium
Weather Monitoring:
- Field micro weather stations (temperature/humidity, wind speed/direction, rainfall, solar radiation, ET0 evapotranspiration)
- Fusion with regional meteorological data for 72-hour forecasting
Crop Monitoring:
- Multispectral/thermal infrared UAV remote sensing (NDVI vegetation index, canopy temperature)
- AI-based crop growth image recognition
Transmission Layer - Reliable Data Backhaul
- 4G/5G wireless transmission + LoRa local network supplementation
- HERO series RTU remote terminal units as edge gateways
- Offline caching and resumable transmission for data integrity
- Support for Modbus, SDI-12 and other sensor protocols
Decision Layer - Intelligent Water-Fertilizer Scheduling
Crop Water Demand Model:
- Reference evapotranspiration calculation based on Penman-Monteith equation
- Dynamic correction with crop coefficient (Kc) across growth stages
- Soil water balance model for net irrigation quota calculation
Fertilizer Demand Decision Model:
- Nutrient requirement estimation based on target yield
- Soil nutrient balance analysis
- Dynamic fertilization formula adjustment by growth stage
Intelligent Scheduling Engine:
- Multi-pump, multi-valve coordinated control
- Pipeline pressure optimization to prevent pipe bursts
- Peak-valley electricity price utilization for cost reduction
Execution Layer - Precision Irrigation and Fertilization
Head Control Unit:
- Intelligent fertilizer injector (multi-channel nutrient uptake, automatic EC/pH adjustment)
- Automatic disc/screen filtration system
- VFD constant pressure water supply pump set
Pipeline Network:
- Main and branch pipe pressure/flow online monitoring
- Electromagnetic flowmeter zonal metering
- Remote control of electric/pneumatic valves
Field Terminals:
- Drip/micro-sprinkler precision water supply
- Pressure-compensating drippers ensuring uniformity
- Root-zone precision fertilization
Core Functions
1. Intelligent Irrigation Decision-Making
- Real-time coupling of soil moisture + weather forecast + crop growth stage
- Automatic generation of irrigation plans (timing, volume, zone)
- Support for manual intervention and automatic correction
2. Precision Fertilizer Mixing Control
- Multi-channel intelligent mixing, EC accuracy +/-0.1mS/cm
- Automatic pH adjustment (controllable range 5.5-7.0)
- Real-time fertilizer solubility monitoring, anti-clogging
3. Zonal Rotation Irrigation Management
- Independent control of dozens of irrigation zones
- Optimized rotation sequence for balanced pipeline pressure
- Independent formulas per zone for differentiated needs
4. Data-Driven Optimization
- Real-time water-fertilizer use efficiency assessment
- Yield-input benefit analysis
- AI recommendations for next season planting plans
Application Scenarios
- Large-scale field crops: Wheat, corn, rice and other large-scale planting areas
- Cash crop cultivation: Cotton, rapeseed, potatoes
- Fruit and vegetable bases: Greenhouse vegetables, orchards, tea plantations
- High-standard farmland projects: New construction or upgrade projects
- Agricultural corporations/cooperatives: Large-scale agricultural operators
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