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Machine learning in photosynthesis: Prospects on sustainable crop development.

Plant science : an international journal of experimental plant biology - 1 Oct 2023

Varghese Ressin, Cherukuri Aswani Kumar, Doddrell Nicholas H, Doss C George Priya, Simkin Andrew J, Ramamoorthy Siva

Abstract excerpt

Improving photosynthesis is a promising avenue to increase food security. Studying photosynthetic traits with the aim to improve efficiency has been one of many strategies to increase crop yield but analyzing large data sets presents an ongoing challenge. Machine learning (ML) represents a ubiquitous tool that can provide a more elaborate data analysis. Here we review the application of ML in various domains of...

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PMID: 37473784
DOI: 10.1016/j.plantsci.2023.111795

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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