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BIRD DETERRENCE IN A VINEYARD USING AN UNMANNED AERIAL SYSTEM (UAS)

机译:使用无人机的空中系统(UAS)在葡萄园中的鸟威慑

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摘要

Washington State growers lose more than $80 million annually to bird damage in fruit crops such as cherries, grapes, Honeycrisp apples, and blueberries. Conventional bird deterrence techniques, such as netting, auditory devices, visual devices, chemical application, falconry, and shooting, are either costly, ineffective, or harmful to birds. At the same time, unmanned aerial systems (UAS) have become popular in military, civilian, and agricultural applications due to decreasing cost, good maneuverability, and their ability to perform multiple types of missions. This article presents an approach using UAS to deter birds and minimize their damage to wine grapes. A quadcopter UAS was flown for three days in September 2016 over a section (30 m x 30 m) of a vineyard to deter birds. The test section of the vineyard was next to a canyon with many trees that provided shelter for a large number of birds. The experimental design included different deterrence methods against birds, including auditory deterrence, visual deterrence, and varying UAS flight patterns. The test section of the vineyard was under continuous video surveillance from 7:00 to 9:00 a.m. using four GoPro cameras for five continuous days, including three days when the UAS was flown. A Gaussian mixture model-based motion detection algorithm was used to detect birds in the videos, a Kalman filter was then used for tracking the detected birds, and bird activities (incoming and outgoing birds) were counted based on the movement of birds across the plot boundary. Two accuracy measures (precision and recall) were calculated to analyze the performance of the automated bird detection and counting system. The results showed that the proposed system achieved a precision of 84% and recall of 87% in counting incoming and outgoing birds. The automated bird counting system was then used to evaluate the performance of the UAS-based bird deterrence system. The results showed that bird activity was more than 300% higher on days with no UAS flights compared to days when the UAS was flown with on-board bird deterrence measures. UAS flights covering the entire experimental plot with auditory deterrence had a better effect than flights with visual deterrence. The results showed the potential for developing an automated bird deterrence system for vineyards and other crops. Extended studies with multi-year, multi-field, and multi-platform experiments are essential to further validate the results.
机译:华盛顿州种植者每年损失超过8000万美元,以樱桃,葡萄,蜜虫苹果和蓝莓等水果作物造成的鸟粪。传统的鸟类威慑技术,例如网,听觉设备,视觉设备,化学应用,猎鹰和拍摄,既成本高,无效或对鸟类有害。与此同时,由于成本,良好的机动性以及执行多种类型任务的能力,无人驾驶航空系统(UAS)在军事,民用和农业应用中变得流行,以及农业应用。本文介绍了一种使用UA阻止鸟类并最大限度地减少对葡萄酒葡萄的损害的方法。 2016年9月在2016年9月的葡萄园的一节(30米x 30米)的葡萄园中飞行了四天,以防鸟类。葡萄园的试验部分毗邻一个有许多树木为大量鸟类提供庇护所的峡谷。实验设计包括对鸟类的不同威慑方法,包括听觉威慑,视觉威慑和不同的UAS飞行模式。葡萄园的试验部分从上午7:00到9:00的连续视频监控。使用四个GoPro相机5个连续日期,包括UAS飞行的三天。基于高斯混合模型的运动检测算法用于检测视频中的鸟类,然后使用卡尔曼滤波器跟踪检测到的鸟类,并且基于鸟类跨越鸟类的运动来计算鸟类活动(进出鸟)边界。计算了两个精度措施(精确和召回),以分析自动鸟检测和计数系统的性能。结果表明,拟议的系统达到了84%的精确度,并且在计数入境和传出鸟类时召回了87%。然后使用自动鸟计数系统来评估基于UA的鸟威慑系统的性能。结果表明,鸟类活性在没有UAS飞行的日子里越高超过300%,而UAS飞行在船上挡风玻璃威慑措施。 UAS航班覆盖着具有听觉威慑的整个实验策略的飞行,比视觉威慑的航班更好。结果表明,为葡萄园和其他作物开发自动鸟类威慑系统的可能性。具有多年,多场和多平台实验的扩展研究对于进一步验证结果至关重要。

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