Evidence map›Paper›PMID 34168318›Full record

ReviewNature plants2021

Nanotechnology and artificial intelligence to enable sustainable and precision agriculture.

Peng Zhang, Zhiling Guo, Sami Ullah, Georgia Melagraki, Antreas Afantitis, Iseult Lynch

Open access · greenAbstract readReview
PubMed Publisher
In one paragraph

Review in Nature plants, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 1 pooled it
58.4field-weighted citation impact, top 1% of its field
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

65 citing papers in PubMed, 1 synthesis or guideline pooled it, 416 citations in OpenAlex.

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5 more citing papers are in PubMed but not listed here.

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 at 3 institutions in 3 countries.

Peng ZhangSchool of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, UK. p.zhang.1@bham.ac.uk.ORCID http://orcid.org/0000-0002-2774-5534
Zhiling GuoSchool of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, UK.
Sami UllahSchool of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, UK.
Georgia MelagrakiDivision of Physical Sciences and Applications, Hellenic Military Academy, Vari, Greece.
Antreas AfantitisNanoinformatics Department, Novamechanics Ltd, Nicosia, Cyprus.
Iseult LynchSchool of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, UK.ORCID http://orcid.org/0000-0003-4250-4584
University of Birmingham · GBHellenic Military Academy · GRNovaMechanics (Cyprus) · CY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate change, increasing populations, competing demands on land for production of biofuels and declining soil quality are challenging global food security. Finding sustainable solutions requires bold new approaches and integration of knowledge from diverse fields, such as materials science and informatics. The convergence of precision agriculture, in which farmers respond in real time to changes in crop growth with nanotechnology and artificial intelligence, offers exciting opportunities for sustainable food production. Coupling existing models for nutrient cycling and crop productivity with nanoinformatics approaches to optimize targeting, uptake, delivery, nutrient capture and long-term impacts on soil microbial communities will enable design of nanoscale agrochemicals that combine optimal safety and functionality profiles.

Indexed as

AgrochemicalsArtificial IntelligenceNanotechnologySustainable DevelopmentCrop ProductionCrops, AgriculturalAgrochemicals

Identifiers

PMID34168318
OpenAlexW3176680278

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.