On the move: Influence of animal movements on count error during drone surveys DOI Creative Commons
Emma A. Schultz,

Natasha Ellison‐Neary,

Melanie R. Boudreau

и другие.

Ecology and Evolution, Год журнала: 2024, Номер 14(10)

Опубликована: Сен. 29, 2024

Abstract The use of remote sensing to monitor animal populations has greatly expanded during the last decade. Drones (i.e., Unoccupied Aircraft Systems or UAS) provide a cost‐ and time‐efficient option survey animals in various landscapes sampling conditions. However, drone‐based surveys may also introduce counting errors, especially when monitoring mobile animals. Using an agent‐based model simulation approach, we evaluated error associated with single across drone flight patterns under three movement strategies (random, directional persistence, biased toward resource) among five speeds (2, 4, 6, 8, 10 m/s). Flight represented increasing spatial independence (ranging from lawnmower pattern image overlap systematic point counts). Simulation results indicated that was most important variable influencing count accuracy, followed by type pattern, then speed. A awnmower 0% produced accurate solitary, moving on landscape (average 1.1 ± 0.6) regardless animal's Image were more likely result multiple counts even accounting for mosaicking. Based our simulations, recommend using minimize augment efficacy surveys. Our work highlights importance understanding interactions between movements design accuracy inform development broad applications diverse species ecosystems.

Язык: Английский

Artificial intelligence for life sciences: A comprehensive guide and future trends DOI

Ming Luo,

Wenyu Yang, Long Bai

и другие.

The Innovation Life, Год журнала: 2024, Номер unknown, С. 100105 - 100105

Опубликована: Янв. 1, 2024

<p>Artificial intelligence has had a profound impact on life sciences. This review discusses the application, challenges, and future development directions of artificial in various branches sciences, including zoology, plant science, microbiology, biochemistry, molecular biology, cell developmental genetics, neuroscience, psychology, pharmacology, clinical medicine, biomaterials, ecology, environmental science. It elaborates important roles aspects such as behavior monitoring, population dynamic prediction, microorganism identification, disease detection. At same time, it points out challenges faced by application data quality, black-box problems, ethical concerns. The are prospected from technological innovation interdisciplinary cooperation. integration Bio-Technologies (BT) Information-Technologies (IT) will transform biomedical research into AI for Science paradigm.</p>

Язык: Английский

Процитировано

9
On the move: Influence of animal movements on count error during drone surveys DOI Creative Commons
Emma A. Schultz,

Natasha Ellison‐Neary,

Melanie R. Boudreau

и другие.

Ecology and Evolution, Год журнала: 2024, Номер 14(10)

Опубликована: Сен. 29, 2024

Abstract The use of remote sensing to monitor animal populations has greatly expanded during the last decade. Drones (i.e., Unoccupied Aircraft Systems or UAS) provide a cost‐ and time‐efficient option survey animals in various landscapes sampling conditions. However, drone‐based surveys may also introduce counting errors, especially when monitoring mobile animals. Using an agent‐based model simulation approach, we evaluated error associated with single across drone flight patterns under three movement strategies (random, directional persistence, biased toward resource) among five speeds (2, 4, 6, 8, 10 m/s). Flight represented increasing spatial independence (ranging from lawnmower pattern image overlap systematic point counts). Simulation results indicated that was most important variable influencing count accuracy, followed by type pattern, then speed. A awnmower 0% produced accurate solitary, moving on landscape (average 1.1 ± 0.6) regardless animal's Image were more likely result multiple counts even accounting for mosaicking. Based our simulations, recommend using minimize augment efficacy surveys. Our work highlights importance understanding interactions between movements design accuracy inform development broad applications diverse species ecosystems.

Язык: Английский

Процитировано

0