Leveraging high-precision farmland maps and combined indoor-outdoor positioning, autonomous agricultural machinery can reliably achieve high-precision positioning in various scenarios such as garages, cultivation paths, farmland, air, and between fruit trees, and during different stages of operation, such as plowing, deep loosening, deep turning, puddling, leveling, seeding, transplanting, weeding, plant protection, harvesting, and transportation. Combined with high-precision agricultural IoT terminals that perceive three-dimensional data on crops, environment, and soil, satellite remote sensing and digital service platforms, this system enables less-manpower or even unmanned production in large field farms, greenhouse farms, and orchard farms. By connecting to online and offline sales channels, it enhances the brand value of agricultural products and increases the productivity and income of farmers.

Based on the fusion of indoor and outdoor high-precision positioning and autonomous driving control algorithms, autonomous agricultural machinery can carry out full-process, multi-scenario unmanned operations in various scenes such as garages, cultivation paths, farmland, air, and between fruit trees, and during different stages of operation, such as plowing, deep loosening, deep turning, puddling, leveling, seeding, transplanting, weeding, plant protection, harvesting, and transportation, covering both wheeled and tracked agricultural machinery.

Based on centimeter-level high-precision positioning and varying crop planting modes, autonomous aerial drones and ground self-propelled plant protection machines can follow preset paths and spraying parameters to autonomously fly and disperse pesticides, fertilizers, and seeds. The process requires no set up of mobile stations, thus lowering costs and increasing efficiency. It also reduces the rate of over-spraying and missed spraying, making it suitable for a variety of crops including field crops and fruit trees.

The high-precision water-fertilizer integrated system can automatically detect, blend, and supply water and fertilizer based on different crop water and fertilizer requirements, soil nutrient content, and environmental conditions. It enables timed and quantified control of irrigation and fertilization, improving the usage rate of irrigation water. It helps to conserve water, fertilizer, and electricity, reduces labor input, and decreases the rate of over-spraying and missed spraying. The system is available in both walking and drip irrigation types.

Based on remote sensing from space and agricultural IoT sensors on the ground such as soil moisture meters, spore catchers, pest reporting devices, weather stations, and spatiotemporal cameras, we can obtain data on a variety of scales, including crop type and planting area, crop growth, plot nutrition, soil moisture, early warning of diseases, pests and meteorological disasters, control and re-inspection, statistics of crop disaster area, and insurance claims, etc. This data can guide users to carry out scientific planting.