Drones - A feasible way to revive forests

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The role of forests in human survival is inevitable but the forest cover decreases by deforestation increased wildfires and unpredictable climate change. To regrow forest we need a lot of manpower and as per some estimates a human can plant about 1500 trees a day and there are many inaccessible places like mountains, river beds, which is not easy for human planters to go, carry, and plant trees. To combat this we need to find out effective mechanisms to plant a large volume of tree seeds in a stipulated period over a mass area. The feasible solution for this is the usage of drones in reviving forests. Drones are unmanned aerial vehicles (UAV), they are like small helicopters which can be flown by a person standing on the ground using a remote.<br /> <br /> Drones can fly and drop seeds at places that were difficult to reach earlier. They can map out the territory, carry the seeds, and drop the load at the identified spots, and go back to check the progress at frequent intervals and creating a large-scale green landscape. The built of the drone for planting trees are designed to be durable enough to lift the high quantity of seeds and they mark the areas suitable for dropping the seeds using machine learning technologies and 3D imaging. The seeds used in the drones are highly recommended to use a protected nutrient coating that acts as a safe shell to bury them in the ground, protect them from animals, and be flown away.<br /> <br /> Forests still cover about 30 percent of the world’s land area, but they are disappearing at an alarming rate. About 17 percent of the Amazonian rainforest has been destroyed over the past 50 years, and losses recently have been on the rise. Given the ferocity of the devastation, we need hundreds of companies, individuals, and groups to come forward, leverage the technology, take these aerial vehicles to the sky and make the planet green again. Keywords: Adaptive and integrated management, Biodiversity conservation, Climate change, Sustainable forest management ID: 3616686

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