Evidence map›Paper›PMID 36506360›Full record

ArticleHeliyon2022

Partnership 4.0: smallholder farmer partnership solutions.

Sofyan Sjaf, Ahmad Aulia Arsyad, Afan Ray Mahardika, Rajib Gandi, La Elson, Lukman Hakim, Zessy Ardinal Barlan, Rizki Budi Utami, Badar Muhammad, Sri Anom Amongjati and 2 more

Abstract read
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In one paragraph

Article in Heliyon, 2022. 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

12 authors.

Sofyan SjafDepartment of Communication and Community Development Sciences, FEMA IPB University, Indonesia.
Ahmad Aulia ArsyadCollege of Vocational Studies, IPB University, Indonesia.
Afan Ray MahardikaCenter for Agricultural and Rural Development Studies, IPB University, Indonesia.
Rajib GandiDepartment of Communication and Community Development Sciences, FEMA IPB University, Indonesia.
La ElsonCenter for Agricultural and Rural Development Studies, IPB University, Indonesia.
Lukman HakimDepartment of Communication and Community Development Sciences, FEMA IPB University, Indonesia.
Zessy Ardinal BarlanDepartment of Communication and Community Development Sciences, FEMA IPB University, Indonesia.
Rizki Budi UtamiCenter for Agricultural and Rural Development Studies, IPB University, Indonesia.
Badar MuhammadCenter for Agricultural and Rural Development Studies, IPB University, Indonesia.
Sri Anom AmongjatiCenter for Agricultural and Rural Development Studies, IPB University, Indonesia.
SampeanCenter for Agricultural and Rural Development Studies, IPB University, Indonesia.
Danang Aria NugrohoThe Institute for Research and Community Service, IPB University, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current pseudo-partnership pattern causes the farmers' income to be low from the results of their farming activities, so a partnership pattern is needed that is able to create a mutual partnership. The research which was conducted in Cikarawang Village, Bogor Regency, West Java Province - Indonesia aims; (1) recognize the existing condition of farmers and the use of agricultural land; (2) knowing the distribution of agricultural commodities; (3) identify existing partnership patterns; and (4) provide solutions for partnership patterns that benefit farmers. By using mixed-methods combined with the Drone Participatory Mapping (DPM) approach to produce

Indexed as

AgriculturePartnership 4.0Small farmersVillage development

Identifiers

PMID36506360
PMCPMC9732319

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.