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, Nam Hai Chua*, Michael S. Strano*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

77 Scopus citations

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.

Original languageEnglish
Pages (from-to)1408-1417
Number of pages10
JournalNature Plants
Volume6
Issue number12
DOIs
StatePublished - Dec 2020

Bibliographical note

Publisher Copyright:
© 2020, Springer Nature Limited.

Fingerprint

Dive into the research topics of 'Species-independent analytical tools for next-generation agriculture'. Together they form a unique fingerprint.

Cite this