The rapid advances in Deep Learning (DL) techniques have enabled rapid detection,
localisation, and recognition of objects from images or videos. DL techniques are now being …

In Earth observation (EO), large-scale land-surface dynamics are traditionally analyzed by
investigating aggregated classes. The increase in data with a very high spatial resolution …

Effective management of invasive species requires rapid detection and dynamic monitoring.
Remote sensing offers an efficient alternative to field surveys for invasive plants; however …

An introduced pasture grass (Andropogon gayanus-gamba grass) is spreading through the
tropical savannas of northern Australia, with detrimental ecosystem consequences including …

Mapping of invasive alien plants (IAPs) is important for developing informed initiatives to
assist environmentalists in managing the spread and impacts of IAPs. The Prosopis plant …

The term “invasive noxious weed species”(INWS), which refers to noxious weed plants that
invade native alpine grasslands, has increasingly become an ecological and economic …

自动化除草是现代精确农业科学领域的研究热点. 已有的自动化除草解决方案中普遍存在鲁棒性
不强, 过度依赖大量样本等问题, 针对上述问题, 本研究提出了基于图像处理多算法融合的田间杂 …

Globally, ecosystems are in decline and a capacity to track this decline and the progress of
ecosystem restoration at this scale is critical. The IUCN Red List for Ecosystems (RLE) is the …

Weed is a major problem faced by the agriculture and farming sector. Advanced imaging
and deep learning (DL) techniques have the potential to automate various tasks involved in …

The scale of grain production affects human life and development. With the continuous
expansion of cultivated land, the reproductive ability of weeds to mutiply gradually …