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Identifying Sugarcane Plantation using LANDSAT-8 Images with Support Vector Machines

Research article (IOP Conference Series Earth and Environmental Science, 2016) · cited 18× · AI/ML
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Identifying Sugarcane Plantation using LANDSAT-8 Images with Support Vector Machines

Summary

Identifying Sugarcane Plantation using LANDSAT-8 Images with Support Vector Machines is a scholarly article[1].

Key Facts

  • Identifying Sugarcane Plantation using LANDSAT-8 Images with Support Vector Machines'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). Identifying Sugarcane Plantation using LANDSAT-8 Images with Support Vector Machines. Retrieved May 24, 2026, from https://4ort.xyz/entity/identifying-sugarcane-plantation-using-landsat-8-images-with-support-vector-machines
MLA “Identifying Sugarcane Plantation using LANDSAT-8 Images with Support Vector Machines.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/identifying-sugarcane-plantation-using-landsat-8-images-with-support-vector-machines.
BibTeX @misc{4ortxyz_identifying-sugarcane-plantation-using-landsat-8-images-with-support-vector-machines_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Identifying Sugarcane Plantation using LANDSAT-8 Images with Support Vector Machines}}, year = {2026}, url = {https://4ort.xyz/entity/identifying-sugarcane-plantation-using-landsat-8-images-with-support-vector-machines}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Identifying Sugarcane Plantation using LANDSAT-8 Images with Support Vector Machines — https://4ort.xyz/entity/identifying-sugarcane-plantation-using-landsat-8-images-with-support-vector-machines (retrieved 2026-05-24)

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