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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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An explainable deep machine vision framework for plant stress phenotyping

Research datakeyboard_double_arrow_right Dataset 16 Jul 2024Publisher:Zenodo
Authors: Iowa State University;

doi: 10.5281/zenodo.12747481 , 10.5281/zenodo.12747480

An explainable deep machine vision framework for plant stress phenotyping

Abstract

This is a companion dataset to the paper 'An explainable deep machine vision framework for plant stress phenotyping' by Ghosal et al., published in 2018 in the Proceedings of the National Academy of Sciences. The full citation is: Ghosal, Sambuddha, David Blystone, Asheesh K. Singh, Baskar Ganapathysubramanian, Arti Singh, and Soumik Sarkar. 'An explainable deep machine vision framework for plant stress phenotyping.' Proceedings of the National Academy of Sciences 115, no. 18 (2018): 4613-4618.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average