Cite this DOI

H. Burnade, D., Jain, K., & Sutar, B. (2021). Forest fire detection and prediction using Internet of things. *Journal of Science & Technology*, *06*(01), 653–665. https://doi.org/10.46243/jst.2021.v6.i04.pp653-665

@article{hburnade2021forest,
  author    = {H. Burnade, Dinesh and Jain, Kaushal and Sutar, Bhavani},
  title     = {{Forest fire detection and prediction using Internet of things}},
  journal   = {Journal of Science \& Technology},
  year      = {2021},
  month     = {aug},
  volume    = {06},
  number    = {01},
  pages     = {653--665},
  publisher = {Longman Publishers},
  issn      = {2456-5660},
  doi       = {10.46243/jst.2021.v6.i04.pp653-665},
  url       = {https://doi.org/10.46243/jst.2021.v6.i04.pp653-665},
  language  = {en},
  abstract  = {Forest fires pose a serious threat to ecologically sound forests and environmental protection Also, loss of life and considerable natural individual properties, adding hundreds of houses and thousands of hectares of wilderness 80\% of fire-related costs could have been avoided if the fire had been discovered sooner. Forest fires become worse and can be detected and forecast with IoT-based NodeMCU. The study is an honest attempt to comprehend the current system, studying various factors affecting forest fires. We tried to make it smarter with thehelp of IoT technology by linking the entire monitoring process to a cloud server. It has been utilized to identify forestfires in extensive surveys. The goal of this research is to look into the losses and damage caused by wildfires, both natural and human-induced and fire detection techniques. The major goal of this research is to anticipate how a firewill progress by monitoring temperature, humidity, and other factors.}
}

TY  - JOUR
TI  - Forest fire detection and prediction using Internet of things
AU  - H. Burnade, Dinesh
AU  - Jain, Kaushal
AU  - Sutar, Bhavani
JO  - Journal of Science & Technology
PY  - 2021
DA  - 2021/08/16/
VL  - 06
IS  - 01
SP  - 653
EP  - 665
PB  - Longman Publishers
SN  - 2456-5660
LA  - en
AB  - Forest fires pose a serious threat to ecologically sound forests and environmental protection Also, loss of life and considerable natural individual properties, adding hundreds of houses and thousands of hectares of wilderness 80% of fire-related costs could have been avoided if the fire had been discovered sooner. Forest fires become worse and can be detected and forecast with IoT-based NodeMCU. The study is an honest attempt to comprehend the current system, studying various factors affecting forest fires. We tried to make it smarter with thehelp of IoT technology by linking the entire monitoring process to a cloud server. It has been utilized to identify forestfires in extensive surveys. The goal of this research is to look into the losses and damage caused by wildfires, both natural and human-induced and fire detection techniques. The major goal of this research is to anticipate how a firewill progress by monitoring temperature, humidity, and other factors.
DO  - 10.46243/jst.2021.v6.i04.pp653-665
UR  - https://doi.org/10.46243/jst.2021.v6.i04.pp653-665
ER  -

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    "URL": "https://doi.org/10.46243/jst.2021.v6.i04.pp653-665",
    "title": "Forest fire detection and prediction using Internet of things",
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    "language": "en",
    "abstract": "Forest fires pose a serious threat to ecologically sound forests and environmental protection Also, loss of life and considerable natural individual properties, adding hundreds of houses and thousands of hectares of wilderness 80% of fire-related costs could have been avoided if the fire had been discovered sooner. Forest fires become worse and can be detected and forecast with IoT-based NodeMCU. The study is an honest attempt to comprehend the current system, studying various factors affecting forest fires. We tried to make it smarter with thehelp of IoT technology by linking the entire monitoring process to a cloud server. It has been utilized to identify forestfires in extensive surveys. The goal of this research is to look into the losses and damage caused by wildfires, both natural and human-induced and fire detection techniques. The major goal of this research is to anticipate how a firewill progress by monitoring temperature, humidity, and other factors.",
    "ISSN": "2456-5660"
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From the record as registered (version 2) — the record and its history. Programs: https://registry.smartscholars.in/api.php?action=cite&doi=10.46243%2Fjst.2021.v6.i04.pp653-665 gives all four in one JSON answer.