What Smart Farmland Covers
The field, not the whole farm
Smart farmland uses IoT, remote sensing, and data to watch the field, irrigate with a measured dose, vary the fertilizer, warn of pests and disease, and estimate yield. It is smart agriculture at the planting step. China has about 1.9 billion mu of cultivated land. High-standard farmland keeps being built; by 2023 about 1 billion mu was in place, which is the scale this gear needs.
The 14th Five-Year Plan for advancing agricultural and rural modernization calls for smart agriculture and digital fields. The General Rules for the Construction of High-Standard Farmland set what irrigation and monitoring have to include. Estimates put compound growth of the smart-agriculture market at about 15%, and farmland IoT keeps spreading.
Standards
The Specification for Smart Agricultural Meteorological Services and Agricultural IoT Terminology set the language of the build. NB-IoT and LoRa fit fields that are scattered and short of power. A sensor outdoors has to keep out water and dust and survive a wide temperature range.
Core Pain Points
A reading taken by hand
Soil moisture, weather, and how the crop looks still depend on a person looking or a sample at one point. The visits are few and the coverage is thin. Without a live number, irrigation and fertilizer follow habit, and water and nutrient are wasted or come up short.
Flood irrigation and a blanket dose
Flooding the field and spreading fertilizer without a map waste water and feed non-point pollution. Precision work needs a different plan for different soil, crop, and weather. The sensor and a valve that can be commanded are the base.
Gear far from a cable
Sensors, weather stations, and cameras sit far apart. Wired power and a wired network cost too much. NB-IoT, LoRa, and solar fit the field.
Where IoT Is Used
The soil and the weather
Soil temperature and moisture, EC, pH, and weather — temperature, humidity, light, rain, wind — sit in the field and upload over NB-IoT or 4G. That supports a moisture reading, an irrigation decision, and a disaster warning.
A valve that opens for a reason
Drip and sprinkler valves open and close, automatically or with a person still in the loop, from soil moisture and what the crop needs. Zones, a schedule, and a remote command are how water use falls and the crop still gets enough.
Pests and how the crop is doing
An insect lamp and a spore trap watch pests and disease. A multispectral camera and a drone watch growth and stress. The upload is what an early warning and a precise spray need.
The Chain and Where It Has Been Used
The chain: sensors and weather stations (moisture, weather, pests) feed an irrigation controller or a valve, then an IoT gateway, then an agricultural cloud. On high-standard farmland the IoT spend is about RMB 200–500 per mu, and sensors sit at about one set per 10–50 mu. One NB-IoT node sends about 1–10 KB a day. Solar plus a battery can run it all year.
Where it has been used: A 5,000-mu wheat base put out 40 moisture sensors, 2 weather stations, and 80 valve controllers on NB-IoT. Irrigation follows soil moisture and the forecast. Water use fell about 35% and yield rose about 8%. A rice area networked insect lamps and spore traps. The pest warning came 3–5 days earlier, and sprays fell by 2 per season.
Terms
- Soil moisture: how much water is in the soil, which decides whether to irrigate
- EC (electrical conductivity): a reading of salinity and fertility
- Variable-rate application (VRA): fertilizer placed according to how the field differs from one spot to the next
- NDVI: normalized difference vegetation index, a remote-sensing number for how the crop is growing
Where the Market Is Heading
Space, sky, and ground. Satellite, drone, and a sensor in the soil as one picture. AI on the crop. Images that name a pest or a disease, and a yield estimate. A farm with few people. Unmanned machines plus IoT. Carbon in the field. Accounting a farmland carbon sink, and trading it.
Summary
Smart farmland joins environmental sensors, irrigation gear, and monitors so water, fertilizer, and a pest warning follow the data. Resource use and output both move. A low-power, wide-coverage link such as NB-IoT fits gear that is spread across the field.
SimtoLink supplies NB-IoT and 4G IoT SIM cards and communication modules for farmland, including low-power and solar-powered sites, so an agricultural business can run the field from the numbers.