Solution Overview
The smart farmland solution watches soil moisture, weather, and pests on open fields, and it supports decisions on irrigation and fertilizer. Field data arrives as it is measured, and the next field task is clearer. Large fields run short of water, take more fertilizer than the crop needs, and react late to pests. Planting from experience alone rarely cuts cost and raises output at the same time.
IoT sensors and crop models sit underneath. A soil probe reads moisture, temperature, EC, and pH. A weather station adds temperature, humidity, light, rainfall, and wind speed, and a pest lamp completes the field picture. Irrigation follows crop water need and soil moisture, and it starts drip or sprinkler lines automatically or with a person in the loop, so water and fertilizer go out only when they are needed. Fertilizer advice follows soil nutrients and the growth stage. It fits wheat, corn, rice, and cotton, and cash crops in orchards and tea gardens, with higher yield, less resource use, and cleaner production.
Policy and what changes on the farm
The 14th Five-Year Plan for agricultural and rural modernization calls for smart agriculture and wider use of agricultural IoT. High-standard farmland and water-saving irrigation projects set clear expectations for soil-moisture monitoring and precision irrigation. Agricultural authorities put China’s effective irrigation-water use coefficient at about 0.57, against more than 0.7 in developed countries, so precision irrigation still has a large saving left.
On a 5,000-mu wheat base, irrigation water fell by about 25%, fertilizer by about 15%, and yield rose by about 8%. Pest warnings cut spray rounds by 2–3. Investment is about 15–30 yuan per mu, covering sensors, gateways, and the platform. For large growers, cooperatives, and state farms, payback is usually 1–2 years.
