Evidence map›Paper›PMID 39517871›Full record

ReviewSensors (Basel, Switzerland)2024

In-Depth Development of a Versatile Rumen Bolus Sensor for Dairy Cattle.

Gergely Vakulya, Éva Hajnal, Péter Udvardy, Gyula Simon

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Heat Stress Detection in Dairy Cattle Using Intraruminal Bolus Sensors.Animals : an open access journal from MDPI · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Gergely VakulyaAlba Regia Faculty, Obuda University, 8000 Székesfehérvár, Hungary.ORCID 0000-0002-4289-5469
Éva HajnalAlba Regia Faculty, Obuda University, 8000 Székesfehérvár, Hungary.ORCID 0000-0002-9498-5052
Péter UdvardyAlba Regia Faculty, Obuda University, 8000 Székesfehérvár, Hungary.ORCID 0000-0002-8897-9326
Gyula SimonAlba Regia Faculty, Obuda University, 8000 Székesfehérvár, Hungary.ORCID 0000-0003-0296-3399

Funding

National Research, Development and Innovation Office 2020-1.1.2-PIACI-KFI-2020- 563 00109
6 · The paper itself

Abstract

Precision agriculture and the increasing automation efforts in animal husbandry requires continuous and complex monitoring of the animals. Rumen bolus sensors, which are cutting-edge pieces of technology and a rapidly developing research field, present an exceptional opportunity for monitoring the health status, physiological parameters, and estrus of the animals. The objective of this paper is to provide a comprehensive overview of the development process of a new sensor development. We address the issues of conceptual design, an overview of applicable sensor modalities, mechanical design, power supply design, applicable hardware solutions, applicable communication solutions and finally the sensor detection algorithms proved in field tests. In conclusion, we present a summary of the current opportunities in the field and provide an analysis of the foreseeable trends.

Indexed as

RumenAlgorithmsAnimal HusbandryAnimalsBiosensing TechniquesCattleDairyingEquipment DesignFemaleMonitoring, Physiologicaccelerometerdigital data collectionheart rate estimationintraruminal deviceLoRaWAN communicationprecision livestock farming

Identifiers

PMID39517871
PMCPMC11548120

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.