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An Effective Image-Based Tomato Leaf Disease Segmentation Method Using MC-UNet

Research article (Plant Phenomics, 2023) · cited 84× · AI/ML
academia openalex:W4366988795
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An Effective Image-Based Tomato Leaf Disease Segmentation Method Using MC-UNet

Summary

An Effective Image-Based Tomato Leaf Disease Segmentation Method Using MC-UNet is a scholarly article[1].

Key Facts

  • An Effective Image-Based Tomato Leaf Disease Segmentation Method Using MC-UNet's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). An Effective Image-Based Tomato Leaf Disease Segmentation Method Using MC-UNet. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-effective-image-based-tomato-leaf-disease-segmentation-method-using-mc-unet
MLA “An Effective Image-Based Tomato Leaf Disease Segmentation Method Using MC-UNet.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-effective-image-based-tomato-leaf-disease-segmentation-method-using-mc-unet.
BibTeX @misc{4ortxyz_an-effective-image-based-tomato-leaf-disease-segmentation-method-using-mc-unet_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An Effective Image-Based Tomato Leaf Disease Segmentation Method Using MC-UNet}}, year = {2026}, url = {https://4ort.xyz/entity/an-effective-image-based-tomato-leaf-disease-segmentation-method-using-mc-unet}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An Effective Image-Based Tomato Leaf Disease Segmentation Method Using MC-UNet — https://4ort.xyz/entity/an-effective-image-based-tomato-leaf-disease-segmentation-method-using-mc-unet (retrieved 2026-05-24)

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