Evidence map›Paper›PMID 37174532›Full record

ArticleAnimals : an open access journal from MDPI2023

FarmDain, a Decision Support System for Dairy Sheep and Goat Production.

Malamati Louta, Panagiotis Karagiannis, Vasiliki Papanikolopoulou, Sotiria Vouraki, Evangelos Tsipis, Stergios Priskas, Georgia Koutouzidou, Alexandros Theodoridis, Socratis Dimitriou, Georgios Arsenos

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

  1. Pooled it
  2. Article
  3. 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

10 authors.

Malamati LoutaTelecommunication Networks and Advanced Services Laboratory, Department of Electrical and Computer Engineering, Faculty of Engineering, University of Western Macedonia, 50100 Kozani, Greece.
Panagiotis KaragiannisTelecommunication Networks and Advanced Services Laboratory, Department of Electrical and Computer Engineering, Faculty of Engineering, University of Western Macedonia, 50100 Kozani, Greece.
Vasiliki PapanikolopoulouLaboratory of Animal Husbandry, School of Veterinary Medicine, Faculty of Health Sciences, Aristotle University, 54124 Thessaloniki, Greece.
Sotiria VourakiLaboratory of Animal Husbandry, School of Veterinary Medicine, Faculty of Health Sciences, Aristotle University, 54124 Thessaloniki, Greece.ORCID 0000-0003-4339-2051
Evangelos TsipisTelecommunication Networks and Advanced Services Laboratory, Department of Electrical and Computer Engineering, Faculty of Engineering, University of Western Macedonia, 50100 Kozani, Greece.
Stergios PriskasLaboratory of Animal Husbandry, School of Veterinary Medicine, Faculty of Health Sciences, Aristotle University, 54124 Thessaloniki, Greece.
Georgia KoutouzidouDepartment of Agriculture, School of Agricultural Sciences, University of Western Macedonia, 53100 Florina, Greece.ORCID 0000-0002-6077-0504
Alexandros TheodoridisLaboratory of Livestock Production Economics, School of Veterinary Medicine, Faculty of Health Sciences, Aristotle University, 54124 Thessaloniki, Greece.ORCID 0000-0001-8524-6218
Socratis DimitriouAchilleas Socratis P.C., 1st Km. Amyntaio-Florina Rd., 53200 Amyntaio, Greece.
Georgios ArsenosLaboratory of Animal Husbandry, School of Veterinary Medicine, Faculty of Health Sciences, Aristotle University, 54124 Thessaloniki, Greece.ORCID 0000-0003-3224-5128

Funding

European Regional Development Fund of the European Union and Greek National Funds through the Operational Program Western Macedonia 2014-2020 DMR1-0016238
6 · The paper itself

Abstract

Managing a milk zone in the dairy industry is demanding. Data necessary for efficient management are difficult to acquire because they usually must be collected in organized and standardized ways. On the other hand, software practices constantly provide new tools that can go beyond simple record-keeping practices and add value to the data. In this work, FarmDain is a novel web-based application for sheep and goat management. It aims to improve milk production and processing by digitizing the value chain in data acquisition, processing and visualization between dairy production businesses and their milk suppliers. FarmDain uses state-of-the-art software technologies to model the data collection process and provides a straightforward user interface to facilitate data processing and visualization. Using the app in a case study carried out for 12 months in a dairy sheep farm resulted in lower feeding cost per milked ewe by 5.5% when ewes were allocated into high and low milk production groups compared to the scenario of remaining in one single group. Furthermore, based on reports provided by the app, culling and genetic selection decisions were made to improve the overall farm performance. Similar practices were applied in all farms optimizing their productivity, which led to increased profitability for farms and the Dairy Factory.

Indexed as

animal food value chainsanimal health and welfaredairy industrydecision-support toolgoatsmanagementsheep

Identifiers

PMID37174532
PMCPMC10177470

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.