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Sensors, Machine learning, and Artificial intelligence in Real Time Fire Science

five-year program funded by the NSF and lead by Montana universities in order to better understand prescribed fires and their effects on the community of the state
Organization organization Q125328783
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Sensors, Machine learning, and Artificial intelligence in Real Time Fire Science

Summary

Sensors, Machine learning, and Artificial intelligence in Real Time Fire Science is an organization[1].

Key Facts

  • Sensors, Machine learning, and Artificial intelligence in Real Time Fire Science's field of work was controlled burn[2].
  • Sensors, Machine learning, and Artificial intelligence in Real Time Fire Science's field of work was artificial intelligence[3].
  • Sensors, Machine learning, and Artificial intelligence in Real Time Fire Science's field of work was computer science[4].
  • Sensors, Machine learning, and Artificial intelligence in Real Time Fire Science's field of work was research[5].
  • Sensors, Machine learning, and Artificial intelligence in Real Time Fire Science's field of work was forestry[6].
  • Sensors, Machine learning, and Artificial intelligence in Real Time Fire Science's field of work was atmospheric sciences[7].
  • Sensors, Machine learning, and Artificial intelligence in Real Time Fire Science's instance of is recorded as organization[8].
  • Sensors, Machine learning, and Artificial intelligence in Real Time Fire Science's instance of is recorded as science project[9].
  • Sensors, Machine learning, and Artificial intelligence in Real Time Fire Science's instance of is recorded as research grant[10].
  • Sensors, Machine learning, and Artificial intelligence in Real Time Fire Science's commissioned by is recorded as National Science Foundation[11].
  • +2023-00-00T00:00:00Z marks the founding of Sensors, Machine learning, and Artificial intelligence in Real Time Fire Science[12].
  • Sensors, Machine learning, and Artificial intelligence in Real Time Fire Science's start time is recorded as +2023-08-01T00:00:00Z[13].
  • Sensors, Machine learning, and Artificial intelligence in Real Time Fire Science's participant is recorded as Montana State University[14].
  • Sensors, Machine learning, and Artificial intelligence in Real Time Fire Science's participant is recorded as University of Montana[15].
  • Sensors, Machine learning, and Artificial intelligence in Real Time Fire Science's participant is recorded as Flathead Valley Community College[16].
  • Sensors, Machine learning, and Artificial intelligence in Real Time Fire Science's participant is recorded as Salish Kootenai College[17].
  • Sensors, Machine learning, and Artificial intelligence in Real Time Fire Science's participant is recorded as Montana Technological University[18].
  • Sensors, Machine learning, and Artificial intelligence in Real Time Fire Science's participant is recorded as Little Big Horn College[19].
  • Sensors, Machine learning, and Artificial intelligence in Real Time Fire Science's official website is recorded as https://www.mtnsfepscor.org/projects/smart-fires[20].
  • Sensors, Machine learning, and Artificial intelligence in Real Time Fire Science's sponsor is recorded as National Science Foundation[21].
  • Sensors, Machine learning, and Artificial intelligence in Real Time Fire Science's sponsor is recorded as Experimental Program to Stimulate Competitive Research[22].
  • Sensors, Machine learning, and Artificial intelligence in Real Time Fire Science's main subject is recorded as forestry[23].
  • Sensors, Machine learning, and Artificial intelligence in Real Time Fire Science's main subject is recorded as artificial intelligence[24].
  • Sensors, Machine learning, and Artificial intelligence in Real Time Fire Science's main subject is recorded as photodetector[25].
  • Sensors, Machine learning, and Artificial intelligence in Real Time Fire Science's main subject is recorded as machine learning[26].

Body

Founding

+2023-00-00T00:00:00Z marks the founding of Sensors, Machine learning, and Artificial intelligence in Real Time Fire Science[12].

Leadership

Directors / managers include Robert A. Walker[27], Michelle Terwilliger[28], Todd Kipfer[29], and Lu Hu[30].

Industry

Fields of work include controlled burn[2], a method[31]; artificial intelligence[3], a type of technology[32]; computer science[4], an academic discipline[33]; research[5], a type of process[34]; forestry[6], an industry[35]; and atmospheric sciences[7], an academic discipline[36].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [8] ↑ . wikidata.org.
  2. [9] ↑ . wikidata.org.
  3. [10] ↑ . wikidata.org.
  4. [11] ↑ . wikidata.org.
  5. [2] ↑ . wikidata.org.
  6. [3] ↑ . wikidata.org.
  7. [4] ↑ . wikidata.org.
  8. [5] ↑ . wikidata.org.
  9. [6] ↑ . wikidata.org.
  10. [7] ↑ . wikidata.org.
  11. [12] ↑ . mtnsfepscor.org. mtnsfepscor.org. Provenance: wikidata.org.
  12. [13] ↑ . wikidata.org.
  13. [14] ↑ . wikidata.org.
  14. [15] ↑ . wikidata.org.
  15. [16] ↑ . wikidata.org.
  16. [17] ↑ . wikidata.org.
  17. [18] ↑ . wikidata.org.
  18. [19] ↑ . wikidata.org.
  19. [20] ↑ . wikidata.org.
  20. [21] ↑ . nsf.gov. nsf.gov. Provenance: wikidata.org.
  21. [22] ↑ . wikidata.org.
  22. [23] ↑ . wikidata.org.
  23. [24] ↑ . wikidata.org.
  24. [25] ↑ . wikidata.org.
  25. [26] ↑ . wikidata.org.
  26. [27] ↑ . wikidata.org.
  27. [28] ↑ . wikidata.org.
  28. [29] ↑ . wikidata.org.
  29. [30] ↑ . wikidata.org.

Inline context (facts about related entities)

  1. [31] ↑ . Wikidata. wikidata.org. → on this site
  2. [32] ↑ . Wikidata. wikidata.org. → on this site
  3. [33] ↑ . Wikidata. wikidata.org. → on this site
  4. [34] ↑ . Wikidata. wikidata.org. → on this site
  5. [35] ↑ . Wikidata. wikidata.org. → on this site
  6. [36] ↑ . Wikidata. wikidata.org. → on this site

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Sensors, Machine learning, and Artificial intelligence in Real Time Fire Science. Retrieved May 3, 2026, from https://4ort.xyz/entity/sensors-machine-learning-and-artificial-intelligence-in-real-time-fire-science
MLA “Sensors, Machine learning, and Artificial intelligence in Real Time Fire Science.” 4ort.xyz Knowledge Graph, 4ort.xyz, 3 May. 2026, https://4ort.xyz/entity/sensors-machine-learning-and-artificial-intelligence-in-real-time-fire-science.
BibTeX @misc{4ortxyz_sensors-machine-learning-and-artificial-intelligence-in-real-time-fire-science_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Sensors, Machine learning, and Artificial intelligence in Real Time Fire Science}}, year = {2026}, url = {https://4ort.xyz/entity/sensors-machine-learning-and-artificial-intelligence-in-real-time-fire-science}, note = {Accessed: 2026-05-03}}
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