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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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tomato-leaf-diseases-detection

Research datakeyboard_double_arrow_right Dataset 02 Sep 2023Publisher:Zenodo
Authors: Debnath, Anjan; Raihan, M.; MD. Mahedi Hasan; Samrat, Nadim;

doi: 10.5281/zenodo.8311631 , 10.5281/zenodo.8311630

tomato-leaf-diseases-detection

Abstract

This dataset is collected from https://www.kaggle.com/datasets/kaustubhb999/tomatoleaf . we are saving this dataset for future use purpose. All copyright goes to this kaggel website link. There are tomato leaf diseases in this dataset. There are almost 9 classes of tomato leaf diseases and 1 class for healthy tomato leaf diseases. This ten classes are : Mosaic Virus Target Spot Bacterial Spot Yellow Leaf Curl Virus Late Blight Leaf Mold Early Blight Spider Mites Two-Spotted Spider Mite Tomato Healthy Septoria Leaf Spot.

Keywords

tomato leaf diseases detection, tomato leaf, plant diseases, diseases detection

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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).
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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.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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