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Article

An explainable deep machine vision framework for plant stress phenotyping.

Proceedings of the National Academy of Sciences of the United States of America - 1 May 2018

Ghosal Sambuddha, Blystone David, Singh Asheesh K, Ganapathysubramanian Baskar, Singh Arti, Sarkar Soumik

Abstract excerpt

Current approaches for accurate identification, classification, and quantification of biotic and abiotic stresses in crop research and production are predominantly visual and require specialized training. However, such techniques are hindered by subjectivity resulting from inter- and intrarater cognitive variability. This translates to erroneous decisions and a significant waste of resources. Here, we demonstrate...

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Identifiers

PMID: 29666265
DOI: 10.1073/pnas.1716999115
PMCID: PMC5939070

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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