澳大利亚研究人员利用卫星和大赦国际以高精确度探测入侵性杂草,协助早期控制工作。 Australian researchers use satellites and AI to detect invasive weeds with high accuracy, aiding early control efforts.

新南威尔士州研究人员正在利用卫星图像和人工智能与非洲爱草作斗争,爱草是一种侵扰性杂草,困扰农场已超过一个世纪。 Researchers in New South Wales are using satellite imagery and artificial intelligence to combat African lovegrass, an invasive weed that has plagued farms for over a century. 该技术利用来自SkySat卫星的频繁图像,以89.8%的精度探测草,用86.1%的比图灌木探测草。 The technology detects the grass with 89.8% accuracy and bitou bush with 86.1%, using frequent images from SkySat satellites. 这种方法有助于早期干预,有助于降低澳大利亚每年40亿美元的入侵植物管理成本,为长期防治抗药性强的杂草提供有希望的新工具。 This approach enables early intervention and could help reduce Australia’s $4 billion annual cost for invasive plant management, offering a promising new tool in the long fight against resilient weeds.