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Automatic lesion segmentation from rice leaf blast field images based on random forest

Research article (2016 IEEE International Conference on Real-time Computing and Robotics (RCAR), 2016) · cited 10× · AI/ML
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Summary

Automatic lesion segmentation from rice leaf blast field images based on random forest is a scholarly article[1].

Key Facts

  • Automatic lesion segmentation from rice leaf blast field images based on random forest's instance of is recorded as scholarly article[2].

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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). Automatic lesion segmentation from rice leaf blast field images based on random forest. Retrieved May 24, 2026, from https://4ort.xyz/entity/automatic-lesion-segmentation-from-rice-leaf-blast-field-images-based-on-random-forest
MLA “Automatic lesion segmentation from rice leaf blast field images based on random forest.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automatic-lesion-segmentation-from-rice-leaf-blast-field-images-based-on-random-forest.
BibTeX @misc{4ortxyz_automatic-lesion-segmentation-from-rice-leaf-blast-field-images-based-on-random-forest_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automatic lesion segmentation from rice leaf blast field images based on random forest}}, year = {2026}, url = {https://4ort.xyz/entity/automatic-lesion-segmentation-from-rice-leaf-blast-field-images-based-on-random-forest}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automatic lesion segmentation from rice leaf blast field images based on random forest — https://4ort.xyz/entity/automatic-lesion-segmentation-from-rice-leaf-blast-field-images-based-on-random-forest (retrieved 2026-05-24)

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