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
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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]