Wildlife Tracking System

The aim of this work is to design a battery-powered IoT device to be placed on snap traps for wildlife trapping. The use of this device aims to simplify and streamline the work of the forest administration. The device, whose functions are controlled by an ESP32 microcontroller, is connected to the network using NB-IoT technology, specifically CatM-2 technology and the corresponding SIM card. This allows the device to operate seasonally and without the need to pay flat fees, as is the case with competing devices. The device also allows the recognition of captured animals based on their weight, which will reduce the number of incorrect trap triggers and thus allow the forest management to capture only a narrower range of animals. At the same time, however, unlike devices that take photographs or videos, the amount of data to be transmitted is reduced.

Authors

Publication Details

Published
2025-01-01
DOI
https://doi.org/10.13164/eeict.2025.80
Primary Topic
Food Supply Chain Traceability
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Wildlife Tracking System

Jakub Zdražil, Pavel Paluřík
Food Supply Chain Traceability
article

Wildlife Tracking System

Jakub Zdražil, Pavel Paluřík
article en

Abstract

The aim of this work is to design a battery-powered IoT device to be placed on snap traps for wildlife trapping. The use of this device aims to simplify and streamline the work of the forest administration. The device, whose functions are controlled by an ESP32 microcontroller, is connected to the network using NB-IoT technology, specifically CatM-2 technology and the corresponding SIM card. This allows the device to operate seasonally and without the need to pay flat fees, as is the case with competing devices. The device also allows the recognition of captured animals based on their weight, which will reduce the number of incorrect trap triggers and thus allow the forest management to capture only a narrower range of animals. At the same time, however, unlike devices that take photographs or videos, the amount of data to be transmitted is reduced.

Openalex Percentile: Top 77%
Food Supply Chain Traceability
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Wildlife Tracking System — Jakub Zdražil, Pavel Paluřík · (2025) | TGRS Research Map | TGRS