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Use of UAVs for an efficient capsule distribution and smart path planning for biological pest control

机译：UAVS用于生物害虫控制的高效胶囊分布和智能路径规划

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摘要

Exotic pests can cause US$1.4 trillion financial damage per year and threaten food security. Biological control is a natural phenomenon that regulates the number of plants and animals by means of natural enemies. The use of unmanned aerial vehicles (UAV) as a support platform for biological control is promising, since it can reduce operating costs and transposition of natural barriers, such as rivers and venomous animals. However, capsules with natural enemies are spread by a remotely piloted UAV and autonomous UAVs in a zigzag pattern, which incur low coverage efficiency and cannot cover areas of any shape. This article proposes an algorithm that calculates capsule deposition sites of areas of any shape. In the most complex situation, the algorithm showed 1.54% more of effectively covered area, 9.54% higher coverage efficiency, and 104.88% lower inefficiency, guaranteed 7.16% protection of the edge region, and required 13.56% of released capsules. Therefore, UAVs can be used for an efficient distribution of capsules for biological control in areas of any shape. Their main impacts are potential cost savings by the release of fewer capsules and better coverage of the border of the crop field.
机译：异国情调的害虫每年可导致1.4万亿财政损害，威胁粮食安全。生物控制是一种通过天敌调节植物和动物人数的自然现象。使用无人驾驶车辆（UAV）作为生物控制的支持平台是有希望的，因为它可以降低自然障碍的运营成本和转子，例如河流和毒液。然而，具有天然敌人的胶囊通过远程推动的UAV和自主无人机以Z字形图案传播，这产生了低覆盖效率并且不能覆盖任何形状的区域。本文提出了一种计算任何形状的区域的胶囊沉积位点的算法。在最复杂的情​​况下，该算法的有效覆盖地区较高了1.54％，覆盖效率高出9.54％，低效率低104.88％，保证了边缘地区的7.16％，需要13.56％的释放胶囊。因此，无人机可用于在任何形状的区域中有效分布胶囊的生物控制。它们的主要影响是通过释放胶囊的释放和更好地覆盖作物领域的潜在成本节约。

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