Evidence map›Paper›PMID 39147913›Full record

ReviewNature food2024

Digital innovations for monitoring sustainability in food systems.

Eva-Marie Meemken, Inbal Becker-Reshef, Laurens Klerkx, Sanneke Kloppenburg, Jan Dirk Wegner, Robert Finger

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature food, 2024. 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

6 authors.

Eva-Marie MeemkenETH Zurich, Zurich, Switzerland. emeemken@ethz.ch.ORCID http://orcid.org/0000-0001-9854-4150
Inbal Becker-ReshefNASA Harvest, University of Maryland, College Park, MD, USA.ORCID http://orcid.org/0000-0002-2160-5151
Laurens KlerkxFacultad de Ciencias Agrarias, Universidad de Talca, Talca, Chile.ORCID http://orcid.org/0000-0002-1664-886X
Sanneke KloppenburgWageningen University, Wageningen, Netherlands.ORCID http://orcid.org/0000-0002-2209-3370
Jan Dirk WegnerUniversity of Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-0290-6901
Robert FingerETH Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-0634-5742

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monitoring systems that incentivize, track and verify compliance with social and environmental standards are widespread in food systems. In particular, digital monitoring approaches using remote sensing, machine learning, big data, smartphones, platforms and blockchain are proliferating. The increasing use and availability of these technologies put us at a critical juncture to leverage these innovations for enhanced transparency, fairness and open access, rather than descending into a dystopian landscape of digital surveillance and division perpetuated by a powerful few. Here we discuss opportunities and risks, and highlight research gaps linked to the ongoing digitalization of monitoring approaches.

Indexed as

Machine LearningBig DataBlockchainDigital TechnologyFood SupplyHumansRemote Sensing TechnologySmartphoneSustainable Development

Identifiers

What OpenQuestion holds

Textmetadata
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.