UAS VISION
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Swedish drone transport company Aerit has begun drone delivery services covering select households in Värmdö Kommun. Aerit’s services will offer a range of products including pharmacy goods, groceries, meals, and retail items from stores and restaurants located in Värmdö Köpcentrum. Continue reading
Drone Delivery Canada Corp. announced that it has achieved official approval for Beyond Visual Line-of-Sight (“BVLOS”) flights in tandem with the transportation of dangerous goods for its Care by Air drone route, marking a significant milestone in the development of its drone delivery capabilities in the healthcare market segment. Continue reading
Percepto, the autonomous inspection and monitoring solution provider, announced a combined $67M Series C in equity and debt funding, led by Koch Disruptive Technologies (KDT), alongside new investors Zimmer Partners and one of the largest U.S. energy companies. Continue reading
On a still, hot May afternoon in central Portugal, a car-sized pile of brush catches fire. As the flames leap higher, a torrent of water suddenly falls from the sky. It’s not rain, however. A large drone hovers about 15m (49ft) above, a fire-proof hose dangling from its belly. Continue reading
Wing, the drone delivery subsidiary from Google parent company Alphabet, has shown publicly for the first time the “autoloader” station it expects will make it significantly easier for retailers to send products through the air to customers. Continue reading
The EA-30X-Pro, presented in Brazil by the Chinese company Eavision, can be set up to function in a mini-swarm for crop-spraying. The model is capable of operating in a set of up to three devices with a single operator.
For those who follow this market, swarming drone operations was an announced trend, however, had not reached the market yet, at least in Brazil.
Norwegian drone logistics company Aviant has launched its home delivery service, Kyte, now capable of delivering groceries, takeaway food, and non-prescription medicines to sparsely populated areas and holiday homes in Norway. Continue reading
A study supported by the United States Department of Agriculture–National Institute of Food and Agriculture aims to evaluate the efficacy of simple linear, multiple, and robust regression methods to predict fall-harvested alfalfa (Medicago sativa L.) yield using unmanned aerial vehicle (UAV)-acquired multispectral and thermal images. Continue reading