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High-accuracy detection of malaria mosquito habitats using drone-based multispectral imagery and Artificial Intelligence (AI) algorithms in an agro-village peri-urban pastureland intervention site (Akonyibedo) in Unyama SubCounty, Gulu District, Northern Uganda

Research article (Journal of Public Health and Epidemiology, 2020) · cited 18× · AI/ML
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High-accuracy detection of malaria mosquito habitats using drone-based multispectral imagery and Artificial Intelligence (AI) algorithms in an agro-village peri-urban pastureland intervention site (Akonyibedo) in Unyama SubCounty, Gulu District, Northern Uganda

Summary

High-accuracy detection of malaria mosquito habitats using drone-based multispectral imagery and Artificial Intelligence (AI) algorithms in an agro-village peri-urban pastureland intervention site (Akonyibedo) in Unyama SubCounty, Gulu District, Northern Uganda is a scholarly article[1].

Key Facts

  • High-accuracy detection of malaria mosquito habitats using drone-based multispectral imagery and Artificial Intelligence (AI) algorithms in an agro-village peri-urban pastureland intervention site (Akonyibedo) in Unyama SubCounty, Gulu District, Northern Uganda'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). High-accuracy detection of malaria mosquito habitats using drone-based multispectral imagery and Artificial Intelligence (AI) algorithms in an agro-village peri-urban pastureland intervention site (Akonyibedo) in Unyama SubCounty, Gulu District, Northern Uganda. Retrieved May 24, 2026, from https://4ort.xyz/entity/high-accuracy-detection-of-malaria-mosquito-habitats-using-drone-based-multispectral-imagery-and-artificial-intelligence
MLA “High-accuracy detection of malaria mosquito habitats using drone-based multispectral imagery and Artificial Intelligence (AI) algorithms in an agro-village peri-urban pastureland intervention site (Akonyibedo) in Unyama SubCounty, Gulu District, Northern Uganda.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/high-accuracy-detection-of-malaria-mosquito-habitats-using-drone-based-multispectral-imagery-and-artificial-intelligence.
BibTeX @misc{4ortxyz_high-accuracy-detection-of-malaria-mosquito-habitats-using-drone-based-multispectral-imagery-and-artificial-intelligence_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{High-accuracy detection of malaria mosquito habitats using drone-based multispectral imagery and Artificial Intelligence (AI) algorithms in an agro-village peri-urban pastureland intervention site (Akonyibedo) in Unyama SubCounty, Gulu District, Northern Uganda}}, year = {2026}, url = {https://4ort.xyz/entity/high-accuracy-detection-of-malaria-mosquito-habitats-using-drone-based-multispectral-imagery-and-artificial-intelligence}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): High-accuracy detection of malaria mosquito habitats using drone-based multispectral imagery and Artificial Intelligence (AI) algorithms in an agro-village peri-urban pastureland intervention site (Akonyibedo) in Unyama SubCounty, Gulu District, Northern Uganda — https://4ort.xyz/entity/high-accuracy-detection-of-malaria-mosquito-habitats-using-drone-based-multispectral-imagery-and-artificial-intelligence (retrieved 2026-05-24)

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