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Traditional industries in Northeast China, such as industry and agriculture, occupy an important position in the economy. Unmanned technology can inject new vitality into traditional industries. In industrial production, unmanned forklifts can improve the efficiency of cargo handling, and drones can be used for safety inspection of factories. In agriculture, in addition to the previously mentioned UAV plant protection operations, unmanned irrigation systems can also be used to improve irrigation efficiency. These applications are helpful to improve the production efficiency and competitiveness of traditional industries in Northeast China and make traditional industries better adapt to the requirements of modern markets.Second, the demand for economic development in Northeast China and the opportunity for unmanned technology to meet3. Promote the development of emerging industries

Second, the demand for economic development in Northeast China and the opportunity for unmanned technology to meetThe climate in Northeast China is cold, and the terrain in some areas is complex. For example, the battery life of drones decreases in a low temperature environment, and the sensors of unmanned vehicles may fail in ice and snow weather. In view of these problems, scientific and technological enterprises need to intensify research and development to develop unmanned scientific and technological products that adapt to the special environment in Northeast China. The applicability of unmanned technology products in Northeast China can be improved through the research and development of cold-resistant battery technology and the design of ice and snow protection for sensors.Third, the challenges faced by unmanned technology to help the economic development in Northeast China and the countermeasures to break the situation

2. Shortcomings of market cognition and talent reserveDriverless technology is gradually maturing. For Northeast China, its vast area and cold climate have special requirements for transportation. Driverless technology can be applied to logistics and transportation. In the long winter in Northeast China, the road conditions are complex and changeable. Driverless trucks can reduce the risks caused by driver fatigue and misjudgment of road conditions. At the same time, in urban traffic, the promotion of driverless cars can optimize traffic flow and reduce congestion. For example, in some big cities in Northeast China, such as Harbin and Shenyang, traffic congestion affects the efficiency of economic operation to a certain extent, and driverless technology is expected to improve this situation.1. Coping with the problem of population loss and labor cost