Edge computing in wildlife behavior and ecology

Hui Yu; Guillermo J. Amador; Antoine Cribellier; Marcel Klaassen; Henrik J. de Knegt; Marc Naguib; Reindert Nijland; Lukasz Nowak; Herbert H.T. Prins; Lysanne Snijders; Chris Tyson; Florian T. Muijres

doi:10.1016/j.tree.2023.11.014

Edge computing in wildlife behavior and ecology

Hui Yu^*, Guillermo J. Amador, Antoine Cribellier, Marcel Klaassen, Henrik J. de Knegt, Marc Naguib, Reindert Nijland, Lukasz Nowak, Herbert H.T. Prins, Lysanne Snijders, Chris Tyson, Florian T. Muijres

^*Corresponding author for this work

Research output: Contribution to journal › Short survey › peer-review

2 Citations (Scopus)

Abstract

Modern sensor technologies increasingly enrich studies in wildlife behavior and ecology. However, constraints on weight, connectivity, energy and memory availability limit their implementation. With the advent of edge computing, there is increasing potential to mitigate these constraints, and drive major advancements in wildlife studies.

Original language	English
Pages (from-to)	128-130
Journal	Trends in Ecology and Evolution
Volume	39
Issue number	2
Early online date	22 Dec 2023
DOIs	https://doi.org/10.1016/j.tree.2023.11.014
Publication status	Published - Feb 2024

Keywords

automation
biologging
energy and storage efficiency
low latency
tiny machine learning

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https://edepot.wur.nl/646827Licence: CC BY-NC

Cite this

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title = "Edge computing in wildlife behavior and ecology",

abstract = "Modern sensor technologies increasingly enrich studies in wildlife behavior and ecology. However, constraints on weight, connectivity, energy and memory availability limit their implementation. With the advent of edge computing, there is increasing potential to mitigate these constraints, and drive major advancements in wildlife studies.",

keywords = "automation, biologging, energy and storage efficiency, low latency, tiny machine learning",

author = "Hui Yu and Amador, {Guillermo J.} and Antoine Cribellier and Marcel Klaassen and {de Knegt}, {Henrik J.} and Marc Naguib and Reindert Nijland and Lukasz Nowak and Prins, {Herbert H.T.} and Lysanne Snijders and Chris Tyson and Muijres, {Florian T.}",

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language = "English",

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T1 - Edge computing in wildlife behavior and ecology

AU - Yu, Hui

AU - Amador, Guillermo J.

AU - Cribellier, Antoine

AU - Klaassen, Marcel

AU - de Knegt, Henrik J.

AU - Naguib, Marc

AU - Nijland, Reindert

AU - Nowak, Lukasz

AU - Prins, Herbert H.T.

AU - Snijders, Lysanne

AU - Tyson, Chris

AU - Muijres, Florian T.

PY - 2024/2

Y1 - 2024/2

N2 - Modern sensor technologies increasingly enrich studies in wildlife behavior and ecology. However, constraints on weight, connectivity, energy and memory availability limit their implementation. With the advent of edge computing, there is increasing potential to mitigate these constraints, and drive major advancements in wildlife studies.

AB - Modern sensor technologies increasingly enrich studies in wildlife behavior and ecology. However, constraints on weight, connectivity, energy and memory availability limit their implementation. With the advent of edge computing, there is increasing potential to mitigate these constraints, and drive major advancements in wildlife studies.

KW - automation

KW - biologging

KW - energy and storage efficiency

KW - low latency

KW - tiny machine learning

U2 - 10.1016/j.tree.2023.11.014

DO - 10.1016/j.tree.2023.11.014

M3 - Short survey

AN - SCOPUS:85181233489

SN - 0169-5347

VL - 39

SP - 128

EP - 130

JO - Trends in Ecology and Evolution

JF - Trends in Ecology and Evolution

IS - 2

ER -

Edge computing in wildlife behavior and ecology

Abstract

Keywords

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