韩国三级视频-日韩操-视频一二区-久草欧美-五月天婷婷丁香花-动漫美女靠逼-韩国一区二区三区视频-美女扒开内裤让男人桶-亚洲AV无码精品一区二区三区-无码内射中文字幕岛国片-亚洲成色网

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: 罗定市| 莱州市| 宿迁市| 沁源县| 育儿| 仪陇县| 湘阴县| 百色市| 济阳县| 徐州市| 沈丘县| 老河口市| 兰坪| 靖宇县| 兰坪| 宜城市| 西青区| 同德县| 印江| 浪卡子县| 龙南县| 邵武市| 高雄县| 红河县| 阿图什市| 黄平县| 巩留县| 周至县| 东明县| 农安县| 高州市| 遂平县| 屏南县| 凤阳县| 顺义区| 无为县| 霍林郭勒市| 明水县| 黄大仙区| 大港区| 和顺县|