Evidence map›Paper›PMID 31007323›Full record

ArticleComputers and electronics in agriculture2019

GeoFarmer: A monitoring and feedback system for agricultural development projects.

Anton Eitzinger, James Cock, Karl Atzmanstorfer, Claudia R Binder, Peter Läderach, Osana Bonilla-Findji, Mona Bartling, Caroline Mwongera, Leo Zurita, Andy Jarvis

Abstract read
In one paragraph

Article in Computers and electronics in agriculture, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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.

Anton EitzingerCIAT International Center for Tropical Agriculture, Colombia.
James CockCIAT International Center for Tropical Agriculture, Colombia.
Karl AtzmanstorferDepartment of Geoinformatics - Z_GIS, Doctoral College GIScience, University Salzburg, Austria.
Claudia R BinderHuman Environmental Relations, LMU, University of Munich (LMU), Germany.
Peter LäderachCIAT International Center for Tropical Agriculture, Colombia.
Osana Bonilla-FindjiCIAT International Center for Tropical Agriculture, Colombia.
Mona BartlingDepartment of Geoinformatics - Z_GIS, Doctoral College GIScience, University Salzburg, Austria.
Caroline MwongeraCIAT International Center for Tropical Agriculture, Colombia.
Leo ZuritaUNIGIS América Latina, Universidad San Francisco de Quito, Ecuador.
Andy JarvisCIAT International Center for Tropical Agriculture, Colombia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Farmers can manage their crops and farms better if they can communicate their experiences, both positive and negative, with each other and with experts. Digital agriculture using internet communication technology (ICT) may facilitate the sharing of experiences between farmers themselves and with experts and others interested in agriculture. ICT approaches in agriculture are, however, still out of the reach of many farmers. The reasons are lack of connectivity, missing capacity building and poor usability of ICT applications. We decided to tackle this problem through cost-effective, easy to use ICT approaches, based on infrastructure and services currently available to small-scale producers in developing areas. Working through a participatory design approach, we developed and tested a novel technology. GeoFarmer provides near real-time, two-way data flows that support processes of co-innovation in agricultural development projects. It can be used as a cost-effective ICT-based platform to monitor agricultural production systems with interactive feedback between the users, within pre-defined geographical domains. We tested GeoFarmer in four geographic domains associated with ongoing agricultural development projects in East and West Africa and Latin America. We demonstrate that GeoFarmer is a cost-effective means of providing and sharing opportune indicators of on-farm performance. It is a potentially useful tool that farmers and agricultural practitioners can use to manage their crops and farms better, reduce risk, increase productivity and improve their livelihoods.

Indexed as

Digital agricultureEvaluationGeolocationICTInteractive feedbackMonitoring

Identifiers

PMID31007323
PMCPMC6472546

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.