{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,22]],"date-time":"2026-02-22T01:11:55Z","timestamp":1771722715802,"version":"3.50.1"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031502033","type":"print"},{"value":"9783031502040","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,12,13]],"date-time":"2023-12-13T00:00:00Z","timestamp":1702425600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,12,13]],"date-time":"2023-12-13T00:00:00Z","timestamp":1702425600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-50204-0_19","type":"book-chapter","created":{"date-parts":[[2023,12,12]],"date-time":"2023-12-12T06:03:09Z","timestamp":1702360989000},"page":"225-236","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Fusing Innovation and Nature: Empowering Forest Fire Detection and Prediction Through IoT Enabled Edge Computing and Deep Learning"],"prefix":"10.1007","author":[{"given":"Keshav","family":"Dhir","sequence":"first","affiliation":[]},{"given":"Prabhsimran","family":"Singh","sequence":"additional","affiliation":[]},{"given":"Ronnie","family":"Das","sequence":"additional","affiliation":[]},{"given":"Ravinder Singh","family":"Sawhney","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,12,13]]},"reference":[{"issue":"3","key":"19_CR1","doi-asserted-by":"publisher","first-page":"1512","DOI":"10.3390\/s23031512","volume":"23","author":"AB Abdusalomov","year":"2023","unstructured":"Abdusalomov, A.B., Islam, B.M.S., Nasimov, R., Mukhiddinov, M., Whangbo, T.K.: An improved forest fire detection method based on the detectron2 model and a deep learning approach. Sensors 23(3), 1512 (2023)","journal-title":"Sensors"},{"key":"19_CR2","doi-asserted-by":"crossref","unstructured":"Akyol, K. (2023). A comprehensive comparison study of traditional classifiers and deep neural networks for forest fire detection. Cluster Computing, 1\u201315","DOI":"10.1007\/s10586-023-04003-z"},{"issue":"14","key":"19_CR3","doi-asserted-by":"publisher","first-page":"8275","DOI":"10.3390\/app13148275","volume":"13","author":"R Alkhatib","year":"2023","unstructured":"Alkhatib, R., Sahwan, W., Alkhatieb, A., Sch\u00fctt, B.: A brief review of machine learning algorithms in forest fires science. Appl. Sci. 13(14), 8275 (2023)","journal-title":"Appl. Sci."},{"key":"19_CR4","doi-asserted-by":"crossref","unstructured":"Dwivedi, Y.K., Pandey, N., Currie, W., Micu, A.: Leveraging ChatGPT and other generative artificial intelligence (AI)-based applications in the hospitality and tourism industry: practices, challenges and research agenda. Int. J. Contemp. Hospitality Manag. (2023)","DOI":"10.1108\/IJCHM-05-2023-0686"},{"key":"19_CR5","doi-asserted-by":"crossref","unstructured":"Chauhan, R., et al.: An IoT-based novel framework for early prediction of forest fire. In: 2023 International Conference on Disruptive Technologies (ICDT), pp. 727\u2013732. IEEE (2023)","DOI":"10.1109\/ICDT57929.2023.10151047"},{"key":"19_CR6","first-page":"315","volume":"22","author":"P Singh","year":"2020","unstructured":"Singh, P., Dwivedi, Y.K., Kahlon, K.S., Sawhney, R.S., Alalwan, A.A., Rana, N.P.: Smart monitoring and controlling of government policies using social media and cloud computing. Inf. Syst. Front. 22, 315\u2013337 (2020)","journal-title":"Inf. Syst. Front."},{"key":"19_CR7","series-title":"Lecture Notes in Networks and Systems","doi-asserted-by":"publisher","first-page":"323","DOI":"10.1007\/978-981-13-2324-9_33","volume-title":"International Conference on Innovative Computing and Communications","author":"V Dubey","year":"2019","unstructured":"Dubey, V., Kumar, P., Chauhan, N.: Forest fire detection system using IoT and artificial neural network. In: Bhattacharyya, S., Hassanien, A.E., Gupta, D., Khanna, A., Pan, I. (eds.) International Conference on Innovative Computing and Communications. LNNS, vol. 55, pp. 323\u2013337. Springer, Singapore (2019). https:\/\/doi.org\/10.1007\/978-981-13-2324-9_33"},{"issue":"27","key":"19_CR8","doi-asserted-by":"publisher","first-page":"38643","DOI":"10.1007\/s11042-022-13068-8","volume":"81","author":"R Ghosh","year":"2022","unstructured":"Ghosh, R., Kumar, A.: A hybrid deep learning model by combining convolutional neural network and recurrent neural network to detect forest fire. Multimedia Tools Appl. 81(27), 38643\u201338660 (2022)","journal-title":"Multimedia Tools Appl."},{"issue":"4","key":"19_CR9","doi-asserted-by":"publisher","first-page":"75","DOI":"10.3390\/fire4040075","volume":"4","author":"F Guede-Fern\u00e1ndez","year":"2021","unstructured":"Guede-Fern\u00e1ndez, F., Martins, L., de Almeida, R.V., Gamboa, H., Vieira, P.: A deep learning based object identification system for forest fire detection. Fire 4(4), 75 (2021)","journal-title":"Fire"},{"issue":"1","key":"19_CR10","doi-asserted-by":"publisher","first-page":"2019","DOI":"10.1080\/15481603.2022.2143872","volume":"59","author":"Y Kang","year":"2022","unstructured":"Kang, Y., Jang, E., Im, J., Kwon, C.: A deep learning model using geostationary satellite data for forest fire detection with reduced detection latency. GI Sci. Remote Sens. 59(1), 2019\u20132035 (2022)","journal-title":"GI Sci. Remote Sens."},{"issue":"7","key":"19_CR11","doi-asserted-by":"publisher","first-page":"1472","DOI":"10.3390\/f14071472","volume":"14","author":"L Li","year":"2023","unstructured":"Li, L., Sali, A., Noordin, N.K., Ismail, A., Hashim, F.: Prediction of peatlands forest fires in Malaysia using machine learning. Forests 14(7), 1472 (2023)","journal-title":"Forests"},{"key":"19_CR12","doi-asserted-by":"crossref","unstructured":"Mohnish, S., Akshay, K.P., Pavithra, P., Ezhilarasi, S.: Deep learning based forest fire detection and alert system. In: 2022 International Conference on Communication, Computing and Internet of Things (IC3IoT), pp. 1\u20135. IEEE (2022)","DOI":"10.1109\/IC3IOT53935.2022.9767911"},{"key":"19_CR13","first-page":"1","volume":"2021","author":"B Pradhan","year":"2021","unstructured":"Pradhan, B., Bhattacharyya, S., Pal, K.: IoT-based applications in healthcare devices. J. Healthc. Eng. 2021, 1\u201318 (2021)","journal-title":"J. Healthc. Eng."},{"key":"19_CR14","first-page":"1","volume":"2022","author":"ST Seydi","year":"2022","unstructured":"Seydi, S.T., Saeidi, V., Kalantar, B., Ueda, N., Halin, A.A.: Fire-Net: a deep learning framework for active forest fire detection. J. Sens. 2022, 1\u201314 (2022)","journal-title":"J. Sens."},{"issue":"4","key":"19_CR15","doi-asserted-by":"publisher","first-page":"963","DOI":"10.1007\/s11676-022-01559-1","volume":"34","author":"Y Shao","year":"2023","unstructured":"Shao, Y., et al.: Assessment of China\u2019s forest fire occurrence with deep learning, geographic information and multisource data. J. For. Res. 34(4), 963\u2013976 (2023)","journal-title":"J. For. Res."},{"key":"19_CR16","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.comcom.2019.10.007","volume":"149","author":"S Sudhakar","year":"2020","unstructured":"Sudhakar, S., Vijayakumar, V., Kumar, C.S., Priya, V., Ravi, L., Subramaniyaswamy, V.: Unmanned aerial vehicle (UAV) based forest fire detection and monitoring for reducing false alarms in forest-fires. Comput. Commun. 149, 1\u201316 (2020)","journal-title":"Comput. Commun."},{"key":"19_CR17","doi-asserted-by":"crossref","unstructured":"Varanasi, L.K., Sumathi, D., Alluri, K., CH, P.R., Thilakarathne, N., Shafi, R.M.: Early detection of forest fire using mixed learning techniques and UAV. Comput. Intell. Neurosci. (CIN) 2022(2), 1\u201312 (2022)","DOI":"10.1155\/2022\/3170244"},{"issue":"1","key":"19_CR18","doi-asserted-by":"publisher","first-page":"329","DOI":"10.1007\/s12065-021-00666-y","volume":"16","author":"R Vikram","year":"2023","unstructured":"Vikram, R., Sinha, D.: FogFire: fog assisted IoT enabled forest fire management. Evol. Intel. 16(1), 329\u2013350 (2023)","journal-title":"Evol. Intel."},{"key":"19_CR19","doi-asserted-by":"crossref","unstructured":"Wang, W., Huang, Q., Liu, H., Jia, Y., Chen, Q.: Forest fire detection method based on deep learning. In: 2022 International Conference on Cyber-Physical Social Intelligence (ICCSI), pp. 23\u201328. IEEE (2022)","DOI":"10.1109\/ICCSI55536.2022.9970702"},{"issue":"2","key":"19_CR20","doi-asserted-by":"publisher","first-page":"217","DOI":"10.3390\/f12020217","volume":"12","author":"R Xu","year":"2021","unstructured":"Xu, R., Lin, H., Lu, K., Cao, L., Liu, Y.: A forest fire detection system based on ensemble learning. Forests 12(2), 217 (2021)","journal-title":"Forests"},{"key":"19_CR21","doi-asserted-by":"crossref","unstructured":"Zhang, G., Yu, P., Wang, C.: Application of deep learning in forest fire smoke identification monitoring system. Acad. J. Environ. Earth Sci. 4(2), 14\u201317 (2022)","DOI":"10.25236\/AJEE.2022.040204"},{"issue":"1","key":"19_CR22","doi-asserted-by":"publisher","first-page":"194","DOI":"10.3390\/land12010194","volume":"12","author":"I Zacharakis","year":"2023","unstructured":"Zacharakis, I., Tsihrintzis, V.A.: Environmental forest fire danger rating systems and indices around the globe: a review. Land 12(1), 194 (2023)","journal-title":"Land"}],"container-title":["IFIP Advances in Information and Communication Technology","Transfer, Diffusion and Adoption of Next-Generation Digital Technologies"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-50204-0_19","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,5]],"date-time":"2024-11-05T20:08:44Z","timestamp":1730837324000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-50204-0_19"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,13]]},"ISBN":["9783031502033","9783031502040"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-50204-0_19","relation":{},"ISSN":["1868-4238","1868-422X"],"issn-type":[{"value":"1868-4238","type":"print"},{"value":"1868-422X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,12,13]]},"assertion":[{"value":"13 December 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"TDIT","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Working Conference on Transfer and Diffusion of IT","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Nagpur","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 December 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 December 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"tdit2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.iimnagpur.ac.in\/IFIP2023\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Easy Chair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"209","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"87","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"23","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"42% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}