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Adigar is a drone simulator developed to reduce the adverse effects of pesticides during the spraying process. Here, we propose a path planning algorithm to cover all arable areas of a farmland, while avoiding unsafe areas. The proposed solution outputs the optimal path for the farmland and the drone can fly over along this path to spray pesticides without human intervention. This approach highlights the concept of using drones for agricultural purposes with minimum human intervention.

Keywords

Agriculture, autonomous drones, human intervention, reinforcement learning, pesticides.
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