This case adopts the "collaborative precision variable fertilization technology for open land" to solve the problem of nutrient imbalance in traditional fertilization. By using drone remote sensing and IoT sensors for monitoring, AI algorithms are used to invert the distribution of nitrogen, phosphorus, and potassium nutrients in rice, generating rice level precision fertilizer prescription maps.

Intelligent agricultural machinery operates accurately according to the square, with an efficiency of 1500-2000 acres per day, which is more than 200 times that of manual fertilization. Practice has shown that this technology can reduce fertilizer application by 10% -15%, increase fertilizer utilization rate by 15% -20%, and increase rice yield by 3% -8% per mu.

Calculated at a fertilizer cost of 300 yuan per mu, the average fertilizer saving per mu in a single season is 60 yuan, the yield and income increase are 90 yuan, and the labor cost is 30 yuan. The comprehensive new income is about 180 yuan, which has been promoted and applied in 300000 mu of farmland.