Evidence map›Paper›PMID 39204965›Full record

ArticleSensors (Basel, Switzerland)2024

Sensorizing a Beehive: A Study on Potential Embedded Solutions for Internal Contactless Monitoring of Bees Activity.

Massimiliano Micheli, Giulia Papa, Ilaria Negri, Matteo Lancini, Cristina Nuzzi, Simone Pasinetti

Abstract read
In one paragraph

Article 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 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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

6 authors.

Massimiliano MicheliDepartment of Mechanical and Industrial Engineering (DIMI), University of Brescia, Via Branze 38, 25128 Brescia, Italy.ORCID 0000-0002-6551-1499
Giulia PapaDepartment of Sustainable Crop Production (DI.PRO.VE.S.), Catholic University of the Sacred Heart, Via E. Parmense 84, 29122 Piacenza, Italy.ORCID 0000-0001-8698-2479
Ilaria NegriDepartment of Sustainable Crop Production (DI.PRO.VE.S.), Catholic University of the Sacred Heart, Via E. Parmense 84, 29122 Piacenza, Italy.ORCID 0000-0001-5188-1408
Matteo LanciniDepartment of Medical and Surgical Specialties, Radiological Sciences, and Public Health (DSMC), University of Brescia, Viale Europa 11, 25128 Brescia, Italy.ORCID 0000-0002-2301-876X
Cristina NuzziDepartment of Mechanical and Industrial Engineering (DIMI), University of Brescia, Via Branze 38, 25128 Brescia, Italy.ORCID 0000-0001-5530-6136
Simone PasinettiDepartment of Mechanical and Industrial Engineering (DIMI), University of Brescia, Via Branze 38, 25128 Brescia, Italy.ORCID 0000-0002-5098-6395

Funding

European Union, FSE-REACT-EU, PON "Research and Innovation 2014-2020", D.M. 1062/202 46-G-13219-3
6 · The paper itself

Abstract

Winter is the season of main concern for beekeepers since the temperature, humidity, and potential infection from mites and other diseases may lead the colony to death. As a consequence, beekeepers perform invasive checks on the colonies, exposing them to further harm. This paper proposes a novel design of an instrumented beehive involving color cameras placed inside the beehive and at the bottom of it, paving the way for new frontiers in beehive monitoring. The overall acquisition system is described focusing on design choices towards an effective solution for internal, contactless, and stress-free beehive monitoring. To validate our approach, we conducted an experimental campaign in 2023 and analyzed the collected images with YOLOv8 to understand if the proposed solution can be useful for beekeepers and what kind of information can be derived from this kind of monitoring, including the presence of

Indexed as

VarroidaeAnimalsBeekeepingBeesembedded measurementshardware instrumentationhoneybee monitoringmeasurement scienceobject detectionprecision agricultureVarroa destructor

Identifiers

PMID39204965
PMCPMC11360817

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.