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
Press Enter · cited answer in seconds

Key Facts

  • Field of work: controlled burn[1], artificial intelligence[2], computer science[3], research[4], forestry[5], atmospheric sciences[6], photodetector[7]
  • Instance of: science project[8], Q12363077[9]
  • Commissioned by: National Science Foundation[10]
  • Inception: 2023[11]
  • Start time: August 1, 2023[12]
  • Participant: Montana State University[13], University of Montana[14], Flathead Valley Community College[15], Salish Kootenai College[16], Montana Technological University[17], Little Big Horn College[18]
  • Official website: https://www.mtnsfepscor.org/projects/smart-fires[19]
  • Sponsor: National Science Foundation[20], Experimental Program to Stimulate Competitive Research[21]
  • Main subject: forestry[22], artificial intelligence[23], photodetector[24], machine learning[25]
  • Director / manager: Robert A. Walker[26], Michelle Terwilliger[27], Todd Kipfer[28], Lu Hu[29]
  • Partnership with: AERONET[30], Montana Department of Environmental Quality[31], Montana Department of Natural Resources and Conservation[32], National Center for Atmospheric Research[33]
  • Principal investigator: Robert A. Walker[34]

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. [1] ↑ . 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. [11] ↑ . mtnsfepscor.org. mtnsfepscor.org. Provenance: wikidata.org.
  12. [12] ↑ . wikidata.org.
  13. [13] ↑ . wikidata.org.
  14. [14] ↑ . wikidata.org.
  15. [15] ↑ . wikidata.org.
  16. [16] ↑ . wikidata.org.
  17. [17] ↑ . wikidata.org.
  18. [18] ↑ . wikidata.org.
  19. [19] ↑ . wikidata.org.
  20. [20] ↑ . nsf.gov. nsf.gov. Provenance: wikidata.org.
  21. [21] ↑ . wikidata.org.
  22. [22] ↑ . wikidata.org.
  23. [23] ↑ . wikidata.org.
  24. [24] ↑ . wikidata.org.
  25. [25] ↑ . wikidata.org.
  26. [26] ↑ . wikidata.org.
  27. [27] ↑ . wikidata.org.
  28. [28] ↑ . wikidata.org.
  29. [29] ↑ . wikidata.org.
  30. [30] ↑ . aeronet.gsfc.nasa.gov. aeronet.gsfc.nasa.gov. Provenance: wikidata.org.
  31. [31] ↑ . wikidata.org.
  32. [32] ↑ . wikidata.org.
  33. [33] ↑ . wikidata.org.
  34. [34] ↑ . nsf.gov. nsf.gov. Provenance: 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 October 10, 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, 10 Oct. 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: 2026-10-10}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Sensors, Machine learning, and Artificial intelligence in Real Time Fire Science — https://4ort.xyz/entity/sensors-machine-learning-and-artificial-intelligence-in-real-time-fire-science (retrieved 2026-10-10)

Canonical URL: https://4ort.xyz/entity/sensors-machine-learning-and-artificial-intelligence-in-real-time-fire-science · Last refreshed:

Edit History

Rolling log of changes to this entity's Wikidata record. Values shown reflect the current state of each edited property — follow the history link to see the precise diff for any edit.

  1. 9d ago · MatSuBot bot · 2026-10-10 view diff on Wikidata ↗
    Main subject → forestry, artificial intelligence, photodetector +1
    Wikidata description → five-year program funded by the NSF and lead by Montana universities in order to
    Start time → +2023-08-01T00:00:00Z
    Partnership with → AERONET, Montana Department of Environmental Quality, Montana Department of Natural Resources and Conservation +1
    + 11 other properties edited (see Wikidata diff for full list)
    "/* wbsetclaimvalue:1| */ Instance of: Q12363077, fix redirect research grant → Q12363077 ([[:toollabs:editgroups/b/CB/ee0bdd40968e|details]])"
Live feed via Wikidata EventStreams. New edits appear within minutes of being made on Wikidata.