国产精品99一区二区三_免费中文日韩_国产在线精品一区二区_日本成人手机在线

Drones better than humans at monitoring wildlife: Australian study

Source: Xinhua| 2018-02-14 08:40:53|Editor: Chengcheng
Video PlayerClose

CANBERRA, Feb. 14 (Xinhua) -- Australian researchers have employed thousands of rubber ducks to prove that drones are more accurate at monitoring wildlife than humans.

Authors of the study, which was released on Wednesday, from the University of Adelaide deployed the fake ducks on an Adelaide beach.

Experienced wildlife spotters were pitted against spotters who counted birds from drone imagery to see which group would get closest to the actual number of fake birds.

"For a few years now, drones have been used to monitor different animals that can be seen from above, including elephants, seals and nesting birds. But, until now, the accuracy of using drones to count wildlife was unclear," lead author Jarrod Hodgson said in a media release on Wednesday.

"We needed to test the technology where we knew the correct answer. We couldn't use wild animals because we could never be sure of the real number of individuals present."

Ground spotters counted the birds using binoculars or telescopes while a drone was flown over the beach, taking pictures from different heights and angles.

"We found it is more accurate and more precise to have people count birds from the drone imagery than to do it on location," Hodgson said.

Hodgson and his team then developed a computer algorithm capable of counting birds from the drone images, yielding results on par with humans counting from the images.

"With so many animals across the world facing extinction, our need for accurate wildlife data has never been greater," Hodgson said.

"Accurate monitoring can detect small changes in animal numbers. That is important because if we had to wait for a big shift in those numbers to notice the decline, it might be too late to conserve a threatened species.

"Our results show that monitoring animals with drones produces better data that we can use to proactively manage wildlife."

TOP STORIES
EDITOR’S CHOICE
MOST VIEWED
EXPLORE XINHUANET
010020070750000000000000011100001369744991
主站蜘蛛池模板: 郓城县| 宿州市| 濉溪县| 枣强县| 柞水县| 房山区| 昌黎县| 天柱县| 德江县| 丹巴县| 股票| 黑龙江省| 酒泉市| 哈尔滨市| 兴国县| 商水县| 家居| 综艺| 长宁县| 湖北省| 永兴县| 沛县| 江源县| 三亚市| 阳春市| 上犹县| 甘谷县| 祁阳县| 定陶县| 瑞安市| 株洲县| 镇江市| 抚宁县| 杭州市| 桦川县| 云和县| 武冈市| 麻栗坡县| 通渭县| 宽城| 吕梁市|