Evidence map›Paper›PMID 33257857›Full record

ReviewNature plants2020

Species-independent analytical tools for next-generation agriculture.

Tedrick Thomas Salim Lew, Rajani Sarojam, In-Cheol Jang, Bong Soo Park, Naweed I Naqvi, Min Hao Wong, Gajendra P Singh, Rajeev J Ram, Oded Shoseyov, Kazuki Saito and 2 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature plants, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. In situ NIR-IIb imaging of endogenous HNature communications · 2026
    Article
  2. Real-Time andJACS Au · 2026
    Article
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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.

Tedrick Thomas Salim LewDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-4815-9921
Rajani SarojamTemasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore, Singapore.
In-Cheol JangTemasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore, Singapore.ORCID http://orcid.org/0000-0001-9408-4273
Bong Soo ParkTemasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore, Singapore.ORCID http://orcid.org/0000-0002-7726-2020
Naweed I NaqviTemasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore, Singapore.
Min Hao WongDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Gajendra P SinghDisruptive & Sustainable Technologies for Agricultural Precision, Singapore-MIT Alliance for Research and Technology, Singapore, Singapore.
Rajeev J RamDisruptive & Sustainable Technologies for Agricultural Precision, Singapore-MIT Alliance for Research and Technology, Singapore, Singapore.
Oded ShoseyovThe Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot, Israel.
Kazuki SaitoMetabolomics Research Group, RIKEN Center for Sustainable Resource Science, Yokohama, Japan.ORCID http://orcid.org/0000-0001-6310-5342
Nam-Hai ChuaTemasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore, Singapore. chua@mail.rockefeller.edu.
Michael S StranoDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. strano@mit.edu.ORCID http://orcid.org/0000-0003-2944-808X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Innovative approaches are urgently required to alleviate the growing pressure on agriculture to meet the rising demand for food. A key challenge for plant biology is to bridge the notable knowledge gap between our detailed understanding of model plants grown under laboratory conditions and the agriculturally important crops cultivated in fields or production facilities. This Perspective highlights the recent development of new analytical tools that are rapid and non-destructive and provide tissue-, cell- or organelle-specific information on living plants in real time, with the potential to extend across multiple species in field applications. We evaluate the utility of engineered plant nanosensors and portable Raman spectroscopy to detect biotic and abiotic stresses, monitor plant hormonal signalling as well as characterize the soil, phytobiome and crop health in a non- or minimally invasive manner. We propose leveraging these tools to bridge the aforementioned fundamental gap with new synthesis and integration of expertise from plant biology, engineering and data science. Lastly, we assess the economic potential and discuss implementation strategies that will ensure the acceptance and successful integration of these modern tools in future farming practices in traditional as well as urban agriculture.

Indexed as

Food SupplyAgricultureCrops, AgriculturalForecastingInventions

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.