Smart Irrigation Solution

Soil-moisture monitoring, precision irrigation, and fertigation that save water and raise farm output

Solution Overview

Agriculture accounts for about 60% of China's total water use, and per-capita water resources are only a quarter of the world average. Flood and furrow irrigation typically put less than 50% of the water applied to productive use. Some parts of a field are over-watered while others run short, fertilizer is spread too broadly, and labor stays expensive. The National Water Conservation Action Plan and the 14th Five-Year Plan for Building a Water-Saving Society both call for more efficient farm water use and wider adoption of high-efficiency irrigation. This solution uses IoT sensing to collect soil moisture and weather data in real time, then applies crop water-demand models to run drip, sprinkler, and micro-sprinkler systems only when the crop needs water.

The same design covers open fields, orchards, protected agriculture, and landscaping. Sensors track soil moisture, temperature, and electrical conductivity (EC), and those readings are read together with rainfall, evaporation, and solar data from the weather station so irrigation decisions follow the field. A fertigation module meters fertilizer into the irrigation lines at a set ratio. In practice, operators typically cut water use by more than 30% and fertilizer use by about 20%, while yield and quality improve.

Policy and Technical Standards

The Ministry of Agriculture and Rural Affairs lists smart irrigation as a priority in the Digital Agriculture and Rural Development Plan, and high-standard farmland projects are expected to include water-saving irrigation. GB/T 50485, Technical Standard for Micro-Irrigation Engineering, and SL 103, Technical Code for Sprinkler Irrigation Engineering, set the design requirements. Soil-moisture work can follow the Soil Moisture Monitoring Specification for sensor placement and data collection. Field devices should use LoRa, NB-IoT, or another method that meets the Agricultural IoT Application Standard, so readings still get through where the signal is weak.

Soil Moisture
Fertigation
Weather Link
Less Water, Higher Output
Smart irrigation in the field

Core Capabilities

From the sensor in the soil to the valve in the field

Soil Moisture Monitoring

Soil moisture, temperature, and EC sensors read conditions in layers, typically 0–20 cm and 20–40 cm, and upload the data to the cloud. Multi-point layouts and zone management give the irrigation decision a measured basis.

Intelligent Irrigation Control

Irrigation starts from moisture thresholds, crop growth stage, and the weather forecast. One controller runs drip, sprinkler, micro-sprinkler, and subsurface irrigation, with remote control of valves and pump stations in timed, metered, or on-demand mode.

Fertigation

Soluble fertilizer is injected into the irrigation line through a dosing pump or a Venturi injector, so watering and feeding happen together. Online EC and pH readings keep the mix adjustable for each crop.

Weather-Linked Decisions

Rainfall, evaporation, solar radiation, and wind speed from the weather station feed the decision. Irrigation pauses when rain starts, and crop water need is calculated from evapotranspiration (ET) so the volume follows the weather.

Typical Use Cases

Field Crops

Precision irrigation for wheat, maize, cotton, and other open-field crops

Orchards and Plantations

Drip and micro-irrigation for fruit trees, tea gardens, and vineyards

Protected Agriculture

Fertigation for greenhouses and polytunnels

Landscaping

Irrigation for parks, green space, and roadside planting

How the System Connects

Sensing: Soil-moisture sensors use low-power wide-area links such as LoRa and NB-IoT and can run for years on battery. Weather stations backhaul over 4G or a wired link and speak Modbus, MQTT, and similar protocols.

Control: Irrigation controllers switch solenoid valves and pumps through relay outputs and accept AC or DC power. They exchange MQTT and HTTP messages with the cloud and keep a local schedule if the link drops.

Platform: The IoT platform handles device management, data storage, a rules engine, and operations dashboards, and it can exchange data with smart-agriculture platforms and government supervision systems.

Implementation and Results

Implementation Notes

  • Sensor placement: Bury soil-moisture sensors in layers that follow the root zone. A practical density is one set per 10–20 mu, and one weather station per 500 mu, sited clear of shade. One mu is about 667 square meters.
  • Irrigation policy: Set moisture thresholds by growth stage. Hold water back slightly at the seedling stage so roots develop, and keep supply steady through flowering and fruit set. Pause automatically in rain so the field is not watered twice.
  • Fertilizer mix: Set EC and pH to the crop's nutrient pattern, use soluble fertilizer, and flush the lines on a schedule so emitters do not clog.
  • Upkeep: Calibrate sensors on a regular cycle and check drip tape and nozzles for blockage. In northern winters, drain the lines before they freeze.

Compared with Flood Irrigation

The difference shows up in water, fertilizer, yield, and labor. Water use falls 30–50%, and drip systems can put more than 90% of applied water to use. Fertilizer use falls 20–30% because water and nutrients move together and less is lost to leaching. Yield often rises 10–20% when water arrives on time. Labor drops by more than 60% because valves are controlled remotely instead of walked. On a 1,000-mu orchard, that is about 30,000–50,000 cubic meters of water a year and fertilizer savings in the tens of thousands of yuan.

Related Solutions

Put Farm Irrigation on a Measured Schedule

Save water, use fertilizer more carefully, and support higher-quality farming