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Precision water and fertilizer integrated intelligent irrigation system

Sep .22.2025
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Precision Water and Fertilizer Integrated Intelligent Irrigation System
Smart Agriculture and Digital Technology
Solution Overview
Based on IoT sensors, meteorological data, crop growth models, and intelligent control algorithms, the system realizes real-time precision monitoring of farmland moisture and automated, intelligent control of irrigation equipment. It provides water on demand to achieve water conservation, yield increase, and efficiency improvement.
Solution Images
Irrigation system equipment display
Intelligent control system interface
Field sensor deployment
Applicable Areas
Areas with scarce or unevenly distributed water resources, such as arid and semi-arid regions in northwest and north China; large plain farms; and facility agriculture parks
Applicable Crops
Field crops (wheat, corn, cotton), cash crops (fruits and vegetables, flowers, tea), forage grass, etc.
Solution Details
Perception Layer
Real-time collection of environmental data through soil temperature and humidity, PH value, EC value sensors and small weather stations deployed in the field.
Transmission Layer
Using NB-IoT, LoRa, 4G/5G and other wireless communication technologies to stably transmit data from the perception layer to the cloud platform.
Platform Layer
The cloud platform stores, analyzes and processes data, with a built-in crop water demand model. Combined with weather forecast data, it generates optimal irrigation strategies (when to irrigate and how much to irrigate).
Execution Layer
The platform issues commands to intelligently controlled valves, water pumps, drip irrigation/sprinkler irrigation systems deployed in the field to achieve precise timing, quantitative, and zoned irrigation. Users can perform remote monitoring and manual intervention through PC or mobile APP.
Technical Highlights
1
Multi-source Data Fusion
Combining multi-dimensional data such as soil moisture, crop growth stage, and weather forecast for more scientific decision-making.
2
AI Intelligent Decision Making
Using AI algorithms to optimize irrigation models, realizing a fully automated closed loop from "perception" to "knowledge" and then to "action".
3
Low-power Wide-area Network
Suitable for complex farmland environments, with long transmission distance, low power consumption, and simple deployment.
4
Variable Rate Irrigation
Supports variable rate irrigation with "one strategy per zone" based on differences in soil moisture across different plots, maximizing water resource utilization.
Main Technical Parameters
Soil moisture monitoring accuracy: ±3%
Soil temperature monitoring range: -40℃ ~ 80℃
Network transmission distance: LoRa up to 2-5km (line of sight), NB-IoT depends on base station coverage
System response delay: <5 seconds
Valve control method: Solenoid valve/motor valve, supports solar power supply
Technology maturity: The technology is very mature and has been applied on a large scale in many domestic farms and agricultural parks
Application Effects
10-20%
Yield Increase
30-50%
Water Saving
15-25%
Fertilizer Saving
20-50%
Cost Reduction
Quality Improvement Description
Avoids alternating drought and waterlogging, creates a more balanced crop growth environment, significantly improves fruit appearance, sugar content, and uniformity, and increases the rate of marketable fruits.
Typical Case
Ningxia Smart Agriculture Water-saving Irrigation Project
Project Introduction
In a large wolfberry planting base in Ningxia, an intelligent irrigation system based on Huawei's IoT platform was deployed to solve the problem of extreme water scarcity in the region and achieve precise and digital management of wolfberry cultivation.
Implementation Location
Ningxia Hui Autonomous Region
Brief Implementation Effects
Achieved over 40% water savings, 15% per mu yield increase, saved significant labor inspection and operation costs, and the wolfberry quality met export standards.
Detailed Case Introduction
The project covers 5,000 mu of wolfberry fields, with hundreds of sets of soil sensors and intelligent valves deployed. The system automatically starts and stops the irrigation system based on the water demand patterns of wolfberries at different growth cycles and real-time soil moisture data, and sends reports to managers via SMS/APP.
Case Images
Ningxia wolfberry planting base
Intelligent irrigation system operation interface
Wolfberry planting intelligent monitoring equipment
User Feedback Summary
"In the past, flood irrigation wasted water and effort, and the quality of wolfberries was unstable. Now I can water with just a tap on my phone. The system knows the field conditions better than humans, truly freeing us from labor and increasing our income."
— Mr. Wang, Ningxia***
"The system's predictions are very accurate, automatically adjusting irrigation plans based on weather forecasts. We can feel at ease even when we're not in the field. Last year during the drought season, my wolfberry yield actually increased by 15%."
— Mr. Li, Ningxiaxxx
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