Evidence map›Paper›PMID 40394045›Full record

ArticleScientific data2025

Robotic monitoring of European habitats: a labeled dataset for plant detection in Annex I habitats of Italy.

Giovanni Di Lorenzo, Franco Angelini, Michele Pierallini, Simone Tolomei, Davide De Benedittis, Agnese Denaro, Giovanni Rivieccio, Maria Carmela Caria, Federica Bonini, Anna Grassi and 11 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

21 authors.

Giovanni Di LorenzoCentro di Ricerca 'Enrico Piaggio', and Dipartimento di Ingegneria dell'Informazione, University of Pisa, Largo Lucio Lazzarino 1, 56122, Pisa, Italy. gdilorenzo.research@gmail.com.ORCID http://orcid.org/0009-0009-6640-1927
Franco AngeliniCentro di Ricerca 'Enrico Piaggio', and Dipartimento di Ingegneria dell'Informazione, University of Pisa, Largo Lucio Lazzarino 1, 56122, Pisa, Italy.ORCID http://orcid.org/0000-0003-2559-9569
Michele PieralliniCentro di Ricerca 'Enrico Piaggio', and Dipartimento di Ingegneria dell'Informazione, University of Pisa, Largo Lucio Lazzarino 1, 56122, Pisa, Italy.
Simone TolomeiCentro di Ricerca 'Enrico Piaggio', and Dipartimento di Ingegneria dell'Informazione, University of Pisa, Largo Lucio Lazzarino 1, 56122, Pisa, Italy.
Davide De BenedittisCentro di Ricerca 'Enrico Piaggio', and Dipartimento di Ingegneria dell'Informazione, University of Pisa, Largo Lucio Lazzarino 1, 56122, Pisa, Italy.ORCID http://orcid.org/0000-0002-7185-6784
Agnese DenaroDepartment of Chemical, Physical, Mathematical and Natural Sciences, Via Piandanna 4, 07100, Sassari, Italy.
Giovanni RivieccioDepartment of Chemical, Physical, Mathematical and Natural Sciences, Via Piandanna 4, 07100, Sassari, Italy.
Maria Carmela CariaDepartment of Chemical, Physical, Mathematical and Natural Sciences, Via Piandanna 4, 07100, Sassari, Italy.ORCID http://orcid.org/0000-0002-7478-4819
Federica BoniniUniversity of Perugia, Department of Agricultural, Food and Environmental Sciences, Borgo XX giugno 74, I-06121, Perugia, Italy.ORCID http://orcid.org/0000-0001-9757-3697
Anna GrassiUniversity of Perugia, Department of Agricultural, Food and Environmental Sciences, Borgo XX giugno 74, I-06121, Perugia, Italy.
Leopoldo de SimoneUniversity of Siena, Department of Life Sciences, Via Mattioli, 4, 53100, Siena, Italy.ORCID http://orcid.org/0000-0002-3055-136X
Emanuele FanfarilloNBFC, National Biodiversity Future Center, Palermo, Italy.ORCID http://orcid.org/0000-0001-5742-737X
Tiberio FiaschiUniversity of Siena, Department of Life Sciences, Via Mattioli, 4, 53100, Siena, Italy.ORCID http://orcid.org/0000-0003-0403-2387
Simona MaccheriniNBFC, National Biodiversity Future Center, Palermo, Italy.ORCID http://orcid.org/0000-0002-2025-7546
Barbara ValleNBFC, National Biodiversity Future Center, Palermo, Italy.ORCID http://orcid.org/0000-0003-4829-4776
Marina Serena BorgattiUniversità degli Studi di Milano, Department of Biosciences, Via Celoria 26, 20133, Milano, Italy.ORCID http://orcid.org/0000-0003-3842-8646
Simonetta BagellaDepartment of Chemical, Physical, Mathematical and Natural Sciences, Via Piandanna 4, 07100, Sassari, Italy.ORCID http://orcid.org/0000-0002-8519-2675
Daniela GiganteUniversity of Perugia, Department of Agricultural, Food and Environmental Sciences, Borgo XX giugno 74, I-06121, Perugia, Italy.ORCID http://orcid.org/0000-0003-1787-5164
Claudia AngioliniNBFC, National Biodiversity Future Center, Palermo, Italy.
Marco CaccianigaUniversità degli Studi di Milano, Department of Biosciences, Via Celoria 26, 20133, Milano, Italy.ORCID http://orcid.org/0000-0001-9715-1830
Manolo GarabiniCentro di Ricerca 'Enrico Piaggio', and Dipartimento di Ingegneria dell'Informazione, University of Pisa, Largo Lucio Lazzarino 1, 56122, Pisa, Italy.ORCID http://orcid.org/0000-0002-5873-3173

Funding

EC | EU Framework Programme for Research and Innovation H2020 | H2020 European Institute of Innovation and Technology (H2020 The European Institute of Innovation and Technology) 101016970EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 Research Infrastructures (H2020 Excellent Science - Research Infrastructures) 101016970
6 · The paper itself

Abstract

The present data descriptor presents a dataset designed for the detection of plant species in various habitats of the European Union. This dataset is based on images captured using multiple different hardware including quadrupedal robot ANYmal C, referring to ecologically important species to assess the presence and conservation status in Annex I habitats 2110, 2120, 6210*, 8110, 8120, and 9210*. Plant scientists and robotic engineers gathered the data in key Italian protected areas and labeled it using YOLOtxt format. Researchers in vegetation science, habitat monitoring, robotics, machine learning, and biodiversity conservation can access the dataset through Zenodo. The ultimate goal of this collaborative effort was to create a dataset that can be used to train artificial intelligence models to assess parameters that enable robotic habitat monitoring. The availability of this dataset may enhance future studies and conservation initiatives for Annex I habitats inside and outside the Natura 2000 network. The dataset and the methods used to obtain it are fully described, highlighting the significance of interdisciplinary cooperation in habitat monitoring.

Indexed as

EcosystemEnvironmental MonitoringPlantsRoboticsBiodiversityConservation of Natural ResourcesItaly

Identifiers

PMID40394045
PMCPMC12092831

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.