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What Varied Scenarios Can Delivery Drones Be Applied To?Diverse Application Scenarios of Delivery DronesDelivery drones are rapidly expanding their footprint across a wide range of industries, revolutionizing the way goods are transported in various scenarios.In the freight industry, delivery drones
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The integration of drone technology in agriculture, particularly in crop protection, marks a significant advancement in the sector. Agricultural drones, equipped with advanced sensors and imaging technologies, are transforming traditional farming practices.
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During this year's National People's Congress, “low-altitude economy” was included in the government's working report for the first time, marking it as a national strategy. The development of general aviation and low-altitude economy is an important part of deepening transportation reform. In 2023, the scale of China's low-altitude economy has exceeded 500 billion yuan, and is expected to exceed 2 trillion yuan by 2030. This brings new opportunities in areas such as logistics, agriculture and tourism, especially in rural and remote areas, and can break transportation bottlenecks and promote economic development. Nevertheless, the low-altitude economy faces challenges such as airspace management and safety and security, and policy guidance and industry regulation are crucial. The future of the low-altitude economy is full of potential and is expected to drive economic growth and industrial transformation.
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In the face of frequent natural disasters, traditional means of rescue are often difficult to respond to the situation in a timely and efficient manner. With the continuous progress and innovation of science and technology, drones, as a brand new rescue tool, are gradually playing an important role.
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UAVs can carry a variety of remote sensing sensors, which can obtain multi-dimensional, high-precision farmland information and realize dynamic monitoring of multiple types of farmland information. Such information mainly includes crop spatial distribution information (farmland localization, crop species identification, area estimation and change dynamic monitoring, field infrastructure extraction), crop growth information (crop phenotypic parameters, nutritional indicators, yield), and crop growth stress factors (field moisture, pests and diseases) dynamics.
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