Soil Sensor-Based Smart Drip Irrigation: Core Tech for Higher Yield & Water Saving

I. Project Background and Requirements Overview

Traditional agricultural irrigation has long relied on experience and fixed schedules, commonly suffering from issues such as extensive water usage and low efficiency. This results in significant waste of precious water resources and fails to meet the precise needs of crop growth. Against the backdrop of increasingly strained global water resources and the urgent need for modern agriculture to transition toward precision and intelligence, developing efficient, water-saving smart irrigation technologies has become an inevitable trend.

Against this background, automated drip irrigation systems centered on real-time soil moisture sensing demonstrate tremendous application value. By directly monitoring the soil condition of the crop root activity layer, these systems achieve “on-demand water supply,” thereby ensuring healthy crop growth while maximizing irrigation water savings. The smart irrigation solution provided by WEST technology is precisely designed to address this core need.

Core Needs: From “Experience-Based Irrigation” to “Data-Driven” Approaches

1. Precision Water Conservation Needs: In large-scale scenarios such as farmland and landscaping, ineffective irrigation results in water waste of over 25%. The market urgently requires systems capable of precise control based on actual soil moisture content to achieve significant water conservation goals.
2. Yield and Quality Improvement Needs: Irrational irrigation not only wastes water but also affects crop yield and quality. For example, at a farm in Shandong, China, precision irrigation management based on soil sensors in wheat and corn cultivation achieved a yield increase of 18%. For cash crops such as olive groves, scientific irrigation can effectively improve fruit sugar content and oil yield.
3. Automation and Efficient Management Needs: Facing the vast areas and complex terrain of large fields, traditional manual inspection and manual control methods are costly and slow to respond. Agricultural operators need systems capable of remote monitoring and automatic execution to reduce labor dependence and improve management efficiency and response speed.
4. Complex Environment Adaptability and Reliable Deployment Needs: The system must adapt to diverse terrains ranging from plains to hills and deserts, as well as harsh outdoor environments such as sun exposure, rain, and dust storms. Therefore, sensors and control equipment must possess high protection ratings (e.g., IP67/IP68), wide operating temperature ranges, and flexible installation methods (e.g., probe insertion, shallow burial).

Alignment of WEST’s Solution

WEST’s IoT architecture, centered on the WE-T214 series 3-in-1 soil sensor transmitter together with the edge intelligent control gateway, perfectly addresses the aforementioned needs. This system can measure soil temperature, moisture (humidity), and electrical conductivity in the crop root layer in real time and with high precision. Data is uploaded via 4G/LoRa dual-mode wireless communication to the cloud platform or local controller. Based on preset irrigation strategies, the control center automatically issues commands to drive field solenoid valves for precise on/off control, forming a complete closed loop of “sensing-transmission-decision-execution”.

This solution revolutionizes traditional irrigation models into a data-driven intelligent management approach, providing a practical technical pathway for addressing water resource challenges and achieving sustainable agricultural development. The following sections will elaborate on the core equipment selection and overall system architecture.

II. WEST Soil Sensors and Smart Control Equipment Selection

To achieve precision management from “experience-based irrigation” to “data-driven” approaches, selecting hardware with reliable performance and suitable for the application scenario is fundamental. This solution strictly adheres to the core needs of large-field irrigation for precision water conservation, high yield and quality, automated management, and complex environment adaptability, combined with WEST’s mature product portfolio.

(I) Core Sensing Layer: WE-T214 Series 3-in-1 Soil Sensor Transmitter

As the “eyes” of the system, the soil sensor is responsible for collecting real-time key moisture data from the crop root layer. The WEST WE-T214 series is a high-performance multi-parameter sensor transmitter specifically designed for agricultural environments.

1. Model Selection and Communication Configuration

To accommodate different network coverage conditions and communication cost requirements in various field areas, two main models are available:

• WE-T214 (4G Version): Suitable for areas with good network coverage and high communication stability requirements. It features a built-in 4G module supporting LTE FDD bands (B1/3/5/7/20/28), enabling direct high-speed, stable data upload to the cloud platform.
• WE-T214 (LoRa Version): In areas with poor 4G signal or short gateway communication distances, particularly in vast fields without public network coverage, it utilizes its LoRa module (frequency band 410.125~490.125MHz) to achieve local wireless networking over a maximum range of 0.5-1 km (line of sight). Data is aggregated through edge gateways and then uploaded uniformly.

2. Key Performance Parameters and Selection Basis

Parameter Category	Technical Indicators	Selection Significance
Measurement Parameters	Soil Temperature, Soil Moisture (Humidity), Soil Electrical Conductivity (EC)	Simultaneously monitors three key factors—water, heat, and salt (related to fertility)—providing comprehensive data support for irrigation and fertilization decisions. Note: This product does not directly measure nitrogen, phosphorus, or potassium nutrients.
Measurement Range & Accuracy	Temperature: -40°C to 85°C (±0.5°C, 0-40°C); Moisture: 0-100% (±3%); EC: 0-20 mS/cm (±3% FS)	High accuracy ensures reliable decision-making. The ±3% soil moisture measurement accuracy is sufficient for precisely determining irrigation timing and amount.
Protection Class	Transmitter main unit: IP67; Sensor probe: IP68	Fully sealed against dust and water, capable of withstanding rain, splash, and sand in farmland, ensuring long-term stable operation.
Operating Temperature	Main unit: -20°C to 70°C; Probe: -40°C to 85°C	Wide temperature range adapts to year-round field environments from heat to cold, ensuring data continuity.
Power Supply	Wide voltage DC 9-30V (typically 24V), supports solar panel (40W20AH) solution	Flexible power supply solves the challenge of power access in large fields; solar power enables autonomous operation of equipment in areas without grid power.
Installation	Probe supports probe insertion, shallow burial, and deep drilling methods	Allows flexible selection based on soil type (sand, clay) and target crop root depth (e.g., 20-30 cm), ensuring monitoring data represents the actual water absorption zone of the crop.
Local Interaction	Equipped with high-definition LCD display	Allows intuitive reading of real-time data during field inspections, facilitating installation debugging and on-site verification.

3. Field Application Validation

This sensor has been successfully applied in precision management of field crops such as wheat and corn. For example, at a farm in Shandong, China, sensors were buried at 20-30 cm in the crop root key layer. Based on monitoring data, “on-demand water supply” was implemented, achieving quantified benefits of water savings of 25% and crop yield increase of 18%, fully validating its reliability and effectiveness.

Agricultural machinery in a field, farming industry.

(II) Smart Control and Execution Layer: Edge Gateway and Modular I/O System

The “brain” and “hands and feet” of the system consist of the edge intelligent control gateway and modular I/O equipment, responsible for data aggregation, intelligent decision-making, and execution of irrigation commands.

1. Core Control Host: WE-X280 Edge Acquisition Gateway/Programmable Controller

This is the central nervous system of the field control system. The selection rationale is as follows:

• Powerful Edge Computing Capability: Features a built-in edge computing engine capable of high-precision conversion, cleaning, and local logic calculation of raw sensor data, enabling rapid response and offline control continuation.
• Flexible Communication Hub:
  • Uplink to Cloud: Supports 4G Full Netcom (FDD/TDD LTE multi-band) and Ethernet (10M/100M auto-negotiation), ensuring smooth control command transmission and data reporting.
  • Downlink to Field Devices: Supports LoRa wireless (same frequency band as sensors for networking) and RS-485 wired bus. A single WE-X280 can connect up to 128 field sensing and control devices.
• Open Protocol Support: Natively supports MQTT, Modbus RTU/TCP, HTTP, and WES cloud service protocols, facilitating integration with third-party systems.
• Expansion Capability: Provides dedicated I/O expansion interfaces, capable of expanding to connect up to 16 I/O node devices, reserving ample capacity for system expansion.
• Industrial-Grade Design: 24VDC power supply, operating temperature -20 to 70°C. Although the protection class is IP20, it is typically installed in outdoor distribution boxes with higher protection ratings to suit the field environment.

2. Modular I/O Acquisition and Control Unit: WE-X2 Series

Based on the actual number of irrigation valve zones, pumps, and monitoring points, the following modules can be flexibly selected and combined with the WE-X280 gateway to build customized control systems:

Core Selected Module	Functional Description	Role in the Irrigation System
WE-X201	8-channel Relay Digital Output (DO) Specification: DC 3A 30V / AC 3A 125V	Core execution drive unit. Each relay can directly control a solenoid valve or start/stop a water pump via an intermediate relay, achieving on/off control of irrigation valve zones.
WE-X219	4-channel Digital Input (DI) + 4-channel Relay Output (DO)	Combines status monitoring and control functions. DI can be used to detect pump operating status, valve feedback, etc.; DO is used for valve control. Suitable for scenarios requiring status feedback.
WE-X202 / X203	4/8-channel Analog Input (AI) (Current 0-20mA/4-20mA or Voltage 0-5V/0-10V)	Used to connect other sensors requiring analog signals (e.g., weather stations, pressure sensors), enriching the system’s monitoring dimensions.
Other Modules (X200, X220, etc.)	Pure DI or DI+AI combinations	Selected based on additional monitoring needs (e.g., anti-theft, door magnetic, water pressure).

3. Execution Terminals and Accessories

• Solenoid Valves/Pulse Valves: As the final execution mechanism, they receive relay switching signals from modules like WE-X201 to control the on/off of field irrigation branch pipes. The system design is compatible with common pilot-operated pulse valves (e.g., DN50) and other drip irrigation-specific valves.
• Field Control Box: Contains circuit breakers, 24V power supply modules, intermediate relays, and the aforementioned WE-X280 gateway and IO modules, forming a complete field irrigation control unit that provides power distribution, protection, and control for all equipment.

(III) Typical Field Scenario Selection Configuration Example

Application Scenario Characteristics	Recommended Sensor Configuration	Recommended Smart Control Configuration	Core Considerations
Large Plain Farm, Good 4G Coverage	WE-T214 (4G/LoRa Standard Edition), use 4G mode for direct cloud connection.	1×WE-X280 gateway + N×WE-X201 modules (N = number of valve zones / 8).	Utilize 4G for wide-area, low-latency direct cloud control, simplifying architecture.
Hilly or Contiguous Farmland with Poor Network Coverage	WE-T214 (4G/LoRa Standard Edition), enable LoRa mode for networking.	1×WE-X280 gateway (LoRa aggregation) + N×WE-X201 modules; gateway uses 4G or Ethernet for backhaul.	Overcome terrain and network-free obstacles via LoRa, enabling low-cost wireless coverage over large areas.
High-Standard Farmland + Water-Fertilizer Integration	WE-T214 sensor + additional AI module for EC/pH sensors, etc.	WE-X280 gateway + WE-X201 (valve control) + WE-X202/X204 (for fertilizer liquid EC/pH monitoring and control).	Expand analog interfaces to integrate more water quality and fertility parameters, providing support for precise water-fertilizer decisions.

Through the above precise selection, the constructed hardware system not only meets the technical requirements of high-precision data acquisition, reliable transmission, and intelligent control but also possesses strong environmental adaptability (IP67/IP68 protection, wide temperature range, solar power supply) and deployment flexibility (wireless/wired, modular expansion), laying a solid physical foundation for subsequent automated precision drip irrigation.

III. Smart Automated Drip Irrigation System Architecture Based on Soil Sensors

This chapter aims to construct a highly automated closed-loop control system centered on data. The system strictly follows the logic of “Sensing-Transmission-Decision-Execution,” integrating WEST’s mature hardware products into a stable, reliable, and scalable overall architecture to achieve precise, on-demand irrigation for field crops.

3.1 Overall System Architecture Design

The system adopts a layered modular design, ensuring clear responsibilities for each functional layer and facilitating deployment, maintenance, and expansion. The core architecture consists of the Perception Layer, Transmission & Edge Control Layer, and Cloud Platform & Application Layer.

1. Perception and Acquisition Layer

This is the “nerve endings” of the system, responsible for directly obtaining first-hand data from the field soil.

• Core Device: WE-T214 Series 3-in-1 Soil Sensor Transmitter
• Deployment Key Points: Based on the crop root depth (e.g., 20-30 cm for wheat and corn), bury the sensor probe in typical crop growth areas, avoiding interference points such as ridges and ditch edges to ensure data representativeness.
• Functionality: Collects three key parameters—temperature, volumetric water content (humidity), and electrical conductivity (EC)—in real time and simultaneously, providing direct evidence for irrigation decisions. The device comes with an LCD display for on-site data viewing.

2. Transmission and Edge Control Layer

This is the “local brain” and “neural network” of the system, responsible for data aggregation, local logical judgment, and driving execution.

• Core Device: WE-X280 Edge Acquisition Gateway
  • Role: Acts as the regional control hub, deployed inside the field control box.
  • Uplink Communication: Uploads aggregated data to the cloud platform via 4G Full Netcom or Ethernet.
  • Downlink Communication: Connects distributed soil sensors and expansion I/O modules via LoRa wireless network (line-of-sight range up to 5 km) or RS-485 wired bus. A single gateway can manage up to 128 terminal nodes, covering a wide area.
• Expansion Control Modules: Use rail-mounted WE-X2 series modules for flexible configuration.
  • Control Output: WE-X201 (8-channel relay) or WE-X219 (4DI+4DO) modules; their relay output contacts directly drive the opening and closing of field solenoid valves (e.g., DN50 pilot-operated pulse valves).
  • Status Feedback & Extended Monitoring: WE-X200 (8DI) module can receive digital signals such as solenoid valve on/off feedback and pump operating status; WE-X202/X203 and other analog input modules can connect additional water quality sensors (e.g., pH, residual chlorine), reserving interfaces for water-fertilizer integration applications.
• Power Supply and Protection: The control box integrates a 24VDC power module to supply power to the entire system and is equipped with circuit breakers, intermediate relays, etc., ensuring electrical safety and reliable control.

3. Cloud Platform and Application Layer

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This is the “command center” and interaction interface of the system, achieving data aggregation, analysis, decision-making, and overall management.

• Data Convergence: The WE-X280 gateway uses standard protocols such as MQTT, Modbus TCP, or HTTP to stably upload data to the WEST Cloud Platform or a user-specified third-party monitoring platform/Data Center.
• Smart Decision-making and Visualization:
  • The platform features a built-in irrigation strategy engine. Users can set fully automated irrigation strategies based on soil moisture thresholds for different crops and growth stages.
  • Provides Web and mobile visualization interfaces, displaying real-time soil moisture maps for each area, historical data curves, device status, and irrigation records.
  • Supports abnormal alarms (e.g., data anomalies, device offline, irrigation timeout) and generates irrigation reports and water usage statistics.

3.2 Typical Network Topology and Deployment Modes

Based on farmland topography, area, and network infrastructure conditions, two typical deployment modes have been validated.

Mode 1: 4G Direct Connection Centralized Control Mode (Suitable for Large, Flat, Contiguous Farms with Good 4G Coverage)

• Topology Features: Each WE-T214 sensor independently communicates directly with the cloud platform via its built-in 4G module. The WE-X280 gateway also connects via 4G uplink and connects multiple WE-X201 relay modules locally via RS-485 bus.
• Advantages: Flexible deployment; sensor locations are not limited by wired distances; data transmission is direct with low latency. Suitable for large-scale farms with flat land and comprehensive operator network coverage.

Mode 2: LoRa Self-Organizing Network + 4G Backhaul Mode (Suitable for Hilly, Mountainous Areas, or Vast Areas with Weak 4G Signal)

• Topology Features: All WE-T214 (LoRa Edition) sensors aggregate data via the LoRa wireless network to the central WE-X280 gateway. The gateway serves as both the LoRa master station and 4G gateway. After data aggregation, it uniformly transmits data back to the cloud via the 4G network.
• Advantages: Utilizing LoRa’s long-range (5 km) and low-power characteristics, it greatly expands the coverage area of a single gateway, reduces reliance on public mobile networks, and significantly lowers long-term communication costs. Particularly suitable for areas with weak network infrastructure.

3.3 System Data Flow and Control Logic Closed Loop

The core of this system achieving precision irrigation lies in forming a complete data-driven closed loop, operating according to the logic validated by the practical application case at a farm in Shandong to achieve water conservation and yield increase:

1. Data Sensing: WE-T214 sensors distributed in the field collect root zone soil moisture data at configurable intervals (e.g., 1 minute to several hours).
2. Data Transmission: Data is transmitted via 4G or LoRa network to the WE-X280 gateway and further uploaded to the cloud platform.
3. Smart Decision-Making: The cloud platform compares real-time moisture data with preset crop water demand thresholds. When the soil moisture in a certain area falls below the trigger threshold, the platform automatically generates an irrigation command (or the WE-X280 gateway judges based on local strategies).
4. Command Issuance and Execution: The irrigation command is sent from the cloud to the WE-X280 gateway of the target area. The gateway drives the corresponding WE-X201 relay module to close, opening the solenoid valve in that area and starting drip irrigation.
5. Feedback and Adjustment: During irrigation, sensors continuously monitor soil moisture. When the moisture reaches the set upper target value, the system automatically issues a close command, stopping irrigation. Meanwhile, the status signal from the pump control cabinet can be fed back to the system, forming complete monitoring.
6. Effect Quantification: This closed-loop operation mode ensures that each irrigation is a specific response to a “water shortage” signal, avoiding the water resource waste caused by scheduled flood irrigation based on experience, thereby achieving quantified benefits of 25% water savings together with 18% yield increase as demonstrated in the case.

This architecture fully integrates the reliability and flexibility of WEST products. Through standardized interfaces and protocols (e.g., Modbus, MQTT), the system ensures not only independent operation but also easy integration into the broader smart agriculture ecosystem in the future.

IV. System Advantages in Water Conservation and Precision Control

By deeply integrating high-precision sensing, intelligent decision-making, and automated execution, this system achieves a fundamental transformation from “experience-based irrigation” to “data-driven” approaches. Its core advantages are not only reflected in significant water conservation results but also in establishing a fully quantifiable and traceable precision control system.

1. Significant Water Conservation Benefits: From “Flood Irrigation” to “Precision Feeding”

Traditional irrigation relies on manual experience, easily leading to improper irrigation timing and uneven water distribution, resulting in significant ineffective evaporation, deep percolation, or runoff losses. The water conservation logic of this system is based on the “on-demand water supply” closed-loop mechanism, and its effectiveness has been validated in multiple scenarios.

• Quantified Water Savings Data: In actual applications for field crops (wheat, corn) at a farm in Shandong, China, real-time monitoring of soil moisture at the 20-30 cm root layer, coupled with linked irrigation, achieved a water savings rate of 25%. Similarly, in landscaping and other scenarios, the system reduces uneven wet and dry areas through distributed monitoring, potentially reducing water waste by over 25%.
• Dynamic Threshold Control: The system allows users to flexibly set upper and lower soil moisture thresholds on the cloud platform or edge gateway based on different crops and growth stages. When sensor data falls below the set lower limit, irrigation is automatically triggered; when the upper limit is reached, irrigation stops immediately, ensuring that each irrigation precisely serves the crop’s critical water demand point, preventing excessive water use.

2. Multi-Dimensional Precision Control Technology Core

Precision control is the cornerstone of achieving water conservation and yield increase in this system, guaranteed by cutting-edge technologies in sensing, decision-making, and execution.

• High-Precision, Multi-Parameter Sensing Foundation:
  • The core sensing device, the WE-T214 series 3-in-1 soil sensor, provides soil moisture accuracy of ±3%, soil temperature accuracy of ±0.5°C (0-40°C), and soil EC accuracy of ±3% FS.
  • Multi-Parameter Correlation Analysis: It monitors not only “water” but also correlates “temperature” and “salt.” For example, under high-temperature conditions, combining soil EC data can optimize irrigation strategies to meet water needs while avoiding excessive salt accumulation in the root zone that could harm crop health.
• Edge Intelligence and Real-Time Decision-Making:
  • The system’s core controller, the WE-X280 edge acquisition gateway, features a built-in edge computing engine. It performs high-precision digital conversion, anomaly cleaning, and local logic calculations on raw sensor data.
  • Dual-Mode Decision Mechanism: Supports “cloud-edge” collaboration. With network stability, the cloud platform can perform complex strategy analysis and long-term data learning. During network interruptions or when rapid response is needed, the edge gateway can immediately execute local automated control based on preset rules, ensuring the real-time performance and reliability of irrigation control.
• Flexible and Reliable Communication and Control Architecture:
  • Full Communication Coverage: Sensors support 4G network direct connection or LoRa self-organizing network (line-of-sight range up to 5 km) for backhaul, adapting to various terrains from plains to network-free hills. The gateway supports multiple uplink interfaces including 4G, Ethernet, and RS485.
  • Standardized Protocols and Control Interfaces: The system fully supports industrial IoT protocols such as MQTT, Modbus (RTU/TCP), ensuring compatibility with third-party devices. Through WE-X2 series I/O modules (e.g., X201 relay output module), solenoid valves can be directly driven, with rapid control loop response and accurate commands.

3. Strong Environmental Adaptability and System Reliability

Precision control can only generate practical value if it operates stably in harsh field environments. The system’s hardware design fully ensures this.

• Device-Level Rugged Design: Sensor main unit protection class IP67, probe IP68, wide voltage power supply (DC 9-30V), wide operating temperature range (main unit -20~70°C, probe -40~85°C), resistant to acids and alkalis, capable of long-term stable operation in harsh environments including sandstorms, rain, high temperatures, and freezing.
• Flexible Installation and Deployment: The sensor adopts a split structure, supports multiple installation methods including probe insertion, shallow burial, and deep drilling, allowing flexible selection based on soil type and crop root distribution, ensuring measurement data represents the crop’s actual growing environment.

4. Beyond Water Conservation: Comprehensive Benefits and Value Extension

The benefits of precision control are systematic, extending far beyond the single dimension of water conservation.

• Yield Increase and Quality Improvement: In the aforementioned Shandong case, while saving 25% of water, crop yield increased by 18%. In cash crops like greenhouse tomatoes and olive trees, scientific irrigation can effectively improve fruit sugar content and oil yield, directly enhancing product market competitiveness.
• Energy Saving and Labor Reduction: On-demand irrigation reduces unnecessary pump operating time, lowering electricity or fuel consumption. Fully automated operation and remote monitoring (via PC web or mobile device) significantly reduce the need for manual field inspection and manual valve switching, achieving precision farm management and efficiency gains with reduced staffing.
• Decision Support and Risk Mitigation: The long-term, continuous soil environment data accumulated by the system provides a data foundation for agronomists to optimize irrigation schedules and develop scientific fertilization plans. It helps mitigate the risk of yield loss due to drought or uneven irrigation, enhancing the predictability and risk resistance of agricultural production.

In summary, the advantages of this system are not the prominence of a single functional point but a complete value closed loop driven by precise soil data, using intelligent automated control as a means, aiming for significant resource savings and efficiency improvements. It marks the entry of field irrigation management from a vague, experience-based traditional model into a new stage of smart agriculture that is quantifiable, optimizable, and traceable.

V. Typical Field Crop Application Cases and Benefit Assessment

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The system architecture and advantages described above have been validated in real field planting scenarios, achieving quantifiable and replicable significant results. This chapter will delve into the core application case and systematically assess the comprehensive benefits.

5.1 Core Empirical Case: Precision Irrigation of Wheat and Corn at Shandong Farm

• 📍 Case Location: A large-scale farm in Shandong Province, China.
• 🌾 Applied Crops: Wheat and corn rotation.
• 🔧 Deployment Solution: The farm deployed WEST WE-T214 series soil sensors in the crop root key layer (depth 20-30 cm) to monitor moisture, temperature, and EC data in real time. Data is transmitted to the cloud platform via a wireless network. The system automatically controls irrigation solenoid valves based on real-time soil moisture, fully achieving an “on-demand water supply” automated closed-loop control.
• 📊 Quantified Results: After a complete production cycle, the system achieved the following empirically validated data:
  • Water Savings: Compared to traditional scheduled flood irrigation, irrigation water usage decreased by 25%.
  • Yield Increase: With optimized water and nutrient coordination, wheat and corn yields increased by an average of 18%.

This case fully demonstrates the feasibility of a soil sensor-based smart drip irrigation system in achieving the “dual goals of water conservation and yield increase” for major field grain crops. Its technical pathway and results represent a mature model for promotion to similar plain grain-producing areas.

5.2 Expanded Application Scenarios

Beyond the classic grain crop case, the system architecture and equipment, due to their reliability and flexibility, have been adapted and applied to a wider range of agricultural and ecological scenarios, demonstrating good versatility:

• Cash Crop Plantations: In olive tree plantations, by developing and executing scientific irrigation plans, the system can effectively regulate the soil environment, helping to improve the sugar content and oil yield of olive fruits, thereby enhancing the market value of the final product.
• Ecological Restoration and Forestry: Suitable for desert soil monitoring, providing data support for the conservation irrigation of sand-fixing plants like sea buckthorn and saxaul, improving water resource utilization efficiency, and supporting ecological restoration projects.
• Facility Agriculture: In greenhouse environments, such as for tomato cultivation, the system not only achieves water and fertilizer savings but also brings approximately an 18% yield increase.
• Landscaping: In scenarios like urban parks and roadside green belts, precision irrigation can reduce water waste by over 25%. During landscape seedling transplantation, through soil environment matching and dynamic monitoring, it can increase the transplant survival rate by over 30%, significantly reducing replanting costs and maintenance risks.

5.3 Comprehensive Economic Benefit Assessment (ROI Analysis Framework)

The return on investment for the WEST smart drip irrigation system is primarily reflected in the two core dimensions of “cost savings” and “efficiency gains”. The following provides a systematic economic benefit assessment framework based on empirical data.

💰 Main Investment Costs (One-time and Annual)

• Hardware Equipment Procurement: Soil sensors (e.g., WE-T214), gateway (WE-X280), I/O controllers, solenoid valves, piping, and accessories.
• Software and Platform Services: Cloud platform access, data analysis, and system licensing fees.
• Installation, Commissioning, and Training: On-site deployment, integration, and personnel training costs.

📈 Core Operating Revenue and Cost Savings (Annual)

1. Direct Revenue Increase:
   1. Yield Increase Revenue: Based on the average 18% yield increase for grain crops, this directly translates into additional sales income.
   2. Quality Improvement Premium: Potential market price increases due to improved fruit quality, as seen in the olive grove case.
2. Direct Operating Cost Savings:
   1. Water Fee Savings: The 25% water savings rate directly translates into reduced irrigation water fees or pumping electricity/fuel costs.
   2. Fertilizer Savings: Precision fertilization based on soil EC value and nutrient data can reduce excessive fertilizer use and loss, lowering fertilizer costs.
   3. Labor Cost Savings: The system’s fully automated operation and remote monitoring significantly reduce the long-term labor input required for manual field inspection and manual valve switching.
3. Indirect Risk Mitigation and Long-term Value:
   1. Ensuring Stable Yield: Avoids the risk of unexpected yield loss due to drought or uneven irrigation.
   2. Improving Survival Rate: Survival rate improvement of over 30% in landscaping transplantation scenarios directly saves material and labor costs for replanting.
   3. Decision Optimization: Long-term soil data accumulation provides a scientific basis for planting planning and variety selection, creating long-term agronomic value.