{
    "ok": true,
    "doi": "10.46243/jst.2024.v9.i01.pp161-169",
    "events": [
        {
            "seq": 1,
            "kind": "register",
            "at": "2026-09-29 22:00:28",
            "by": "Administrator (admin)",
            "by_kind": "user",
            "note": "registered at Crossref; record read from api.crossref.org",
            "changes": [
                {
                    "path": "abstract.lang",
                    "from": null,
                    "to": "en"
                },
                {
                    "path": "abstract.value",
                    "from": null,
                    "to": "Compared with the traditional techniques of forest fire detection, a wireless sensor network paradigm based on a ZigBee technique was proposed. The proposed technique is in real time, given the exigencies of forest fires. The architecture of a wireless sensor network for forest fire detection is described. The hardware circuitry of the ZIGBEE network node. The process of data transmission is discussed in detail. Environmental parameters such as temperature and humidity in the forest region can be monitored in real time. This system consists of three fire sensors, if any sensor activated it automatically turn on water pump and send the data to base station using zigbee then base station zigbee receiver receive the data and upload into server using IOT. From the information collected by the system, decisions for firefighting or fire prevention can be made more quickly by the relevant government departments."
                },
                {
                    "path": "agents.0.name.family",
                    "from": null,
                    "to": "Dr. Rakesh Kumar"
                },
                {
                    "path": "agents.0.name.given",
                    "from": null,
                    "to": "Dr. Rakesh Kumar"
                },
                {
                    "path": "agents.0.role",
                    "from": null,
                    "to": "author"
                },
                {
                    "path": "agents.0.sequence",
                    "from": null,
                    "to": "first"
                },
                {
                    "path": "agents.1.name.org",
                    "from": null,
                    "to": "Longman Publishers"
                },
                {
                    "path": "agents.1.role",
                    "from": null,
                    "to": "publisher"
                },
                {
                    "path": "characters.0",
                    "from": null,
                    "to": "Language"
                },
                {
                    "path": "container.identifiers.0.medium",
                    "from": null,
                    "to": "electronic"
                },
                {
                    "path": "container.identifiers.0.type",
                    "from": null,
                    "to": "ISSN"
                },
                {
                    "path": "container.identifiers.0.value",
                    "from": null,
                    "to": "2456-5660"
                },
                {
                    "path": "container.issue",
                    "from": null,
                    "to": "1"
                },
                {
                    "path": "container.pages.first",
                    "from": null,
                    "to": "161"
                },
                {
                    "path": "container.pages.last",
                    "from": null,
                    "to": "169"
                },
                {
                    "path": "container.titles.0.type",
                    "from": null,
                    "to": "PrincipalTitle"
                },
                {
                    "path": "container.titles.0.value",
                    "from": null,
                    "to": "Journal of Science &amp; Technology"
                },
                {
                    "path": "container.type",
                    "from": null,
                    "to": "Journal"
                },
                {
                    "path": "container.volume",
                    "from": null,
                    "to": "9"
                },
                {
                    "path": "dates.date_type",
                    "from": null,
                    "to": "PublicationDate"
                },
                {
                    "path": "dates.online",
                    "from": null,
                    "to": "2024-01-25"
                },
                {
                    "path": "dates.published",
                    "from": null,
                    "to": "2024-01-25"
                },
                {
                    "path": "doi",
                    "from": null,
                    "to": "10.46243/jst.2024.v9.i01.pp161-169"
                },
                {
                    "path": "format",
                    "from": null,
                    "to": "smartscholars-doi-metadata/1.0"
                },
                {
                    "path": "identifiers.0.type",
                    "from": null,
                    "to": "DOI"
                },
                {
                    "path": "identifiers.0.value",
                    "from": null,
                    "to": "10.46243/jst.2024.v9.i01.pp161-169"
                },
                {
                    "path": "language",
                    "from": null,
                    "to": "en"
                },
                {
                    "path": "license.applies_to",
                    "from": null,
                    "to": "vor"
                },
                {
                    "path": "license.start",
                    "from": null,
                    "to": "2024-01-25"
                },
                {
                    "path": "license.url",
                    "from": null,
                    "to": "https://creativecommons.org/licenses/by/4.0"
                },
                {
                    "path": "links.0.primary",
                    "from": null,
                    "to": true
                },
                {
                    "path": "links.0.return_type",
                    "from": null,
                    "to": "text/html"
                },
                {
                    "path": "links.0.url",
                    "from": null,
                    "to": "https://www.jst.org.in/index.php/pub/article/view/59"
                },
                {
                    "path": "links.1.purpose",
                    "from": null,
                    "to": "text-mining"
                },
                {
                    "path": "links.1.return_type",
                    "from": null,
                    "to": "application/pdf"
                },
                {
                    "path": "links.1.url",
                    "from": null,
                    "to": "https://www.jst.org.in/index.php/pub/article/download/59/51"
                },
                {
                    "path": "links.2.purpose",
                    "from": null,
                    "to": "text-mining"
                },
                {
                    "path": "links.2.return_type",
                    "from": null,
                    "to": "application/xml"
                },
                {
                    "path": "links.2.url",
                    "from": null,
                    "to": "https://www.jst.org.in/index.php/pub/article/download/59/1466"
                },
                {
                    "path": "modes.0",
                    "from": null,
                    "to": "Visual"
                },
                {
                    "path": "record.issue_number",
                    "from": null,
                    "to": 1
                },
                {
                    "path": "record.registered",
                    "from": null,
                    "to": "2024-02-16"
                },
                {
                    "path": "record.registrant",
                    "from": null,
                    "to": "Longman Publishers"
                },
                {
                    "path": "record.source",
                    "from": null,
                    "to": "crossref-api"
                },
                {
                    "path": "record.source_agency",
                    "from": null,
                    "to": "Crossref (member 25296)"
                },
                {
                    "path": "record.updated",
                    "from": null,
                    "to": "2026-09-17"
                },
                {
                    "path": "references.0.key",
                    "from": null,
                    "to": "ref1"
                },
                {
                    "path": "references.0.unstructured",
                    "from": null,
                    "to": "P.S. Jadhav, V.U. Deshmukh “Fire Monitoring System Based on Zigbee Wireless Sensor Networks”, PG Student, Assistant Professor, Vidya Pratisthanas College of Engineering Baramati, Pune University"
                },
                {
                    "path": "references.1.doi",
                    "from": null,
                    "to": "10.1007/s11461-008-0054-3"
                },
                {
                    "path": "references.1.key",
                    "from": null,
                    "to": "ref2"
                },
                {
                    "path": "references.1.unstructured",
                    "from": null,
                    "to": "Junguo Zhang, Jiangming Kan, Wenbib Li “Forest Fire detection System based on Zigbee wireless sensor network”, Beijing Forestry University, September 2008"
                },
                {
                    "path": "references.10.key",
                    "from": null,
                    "to": "ref11"
                },
                {
                    "path": "references.10.unstructured",
                    "from": null,
                    "to": "Song W G, Ma J, Satoh K, Wang J (2006). An analysis of multicorrelation between forest fire risk and weather parameters. Eng Sci, 8(2): 61–66 (in Chinese)"
                },
                {
                    "path": "references.11.key",
                    "from": null,
                    "to": "ref12"
                },
                {
                    "path": "references.11.unstructured",
                    "from": null,
                    "to": "Tian X R, McRae D J, Zhang Y H (2006). Assessment of forest fire danger rating systems. World For Res, 19(2): 39–46 (in Chinese)"
                },
                {
                    "path": "references.12.doi",
                    "from": null,
                    "to": "10.1117/12.578518"
                },
                {
                    "path": "references.12.key",
                    "from": null,
                    "to": "ref13"
                },
                {
                    "path": "references.12.unstructured",
                    "from": null,
                    "to": "Tillett J, Yang S J, Rao R, Sahin F (2004). Optimal topologies for wireless sensor networks. In: Proceedings of SPIE–the International Society for Optical Engineering, Unmanned/ Unattended Sensors and Sensor Networks. London: SPIE, 192–203 Figure 5: Displayed the fire detected data. Dr. Rakesh Kumar, M. Sreeja, K. Kreethi, P. Srija: ZIGBEE BASED SOLAR POWERED FOREST FIRE DETECTION AND CONTROL SYSTEM"
                },
                {
                    "path": "references.13.doi",
                    "from": null,
                    "to": "10.1109/wcnm.2005.1544272"
                },
                {
                    "path": "references.13.key",
                    "from": null,
                    "to": "ref14"
                },
                {
                    "path": "references.13.unstructured",
                    "from": null,
                    "to": "Yu L Y, Wang N, Meng X Q (2005). Real-time forest fire detection with wireless sensor networks. In: Proceedings of 2005 International Conference on Wireless Communications, Networking and Mobile Computing. Wuhan: WCNM, 1214–1217"
                },
                {
                    "path": "references.14.doi",
                    "from": null,
                    "to": "10.1109/icita.2005.313"
                },
                {
                    "path": "references.14.key",
                    "from": null,
                    "to": "ref15"
                },
                {
                    "path": "references.14.unstructured",
                    "from": null,
                    "to": "Zenon C, Fady A (2005). Wireless sensor network based system for fire endangered areas. In: Proceedings of the 3rd International Conference on Information Technology and Applications. Sydney: ICITA, 203–207 Zhang G (2004). Study on forest fire dynamic monitoring in Guangzhou City. Dissertation for the Doctoral Degree. Zhuzhou: Central South Forestry University (in Chinese)"
                },
                {
                    "path": "references.2.key",
                    "from": null,
                    "to": "ref3"
                },
                {
                    "path": "references.2.unstructured",
                    "from": null,
                    "to": "Harinder “Forest Fire Detection using Wireless Sensor”, Department ofComputer Science and Engineering PSNACET, 2016"
                },
                {
                    "path": "references.3.key",
                    "from": null,
                    "to": "ref4"
                },
                {
                    "path": "references.3.unstructured",
                    "from": null,
                    "to": "R. Niranjana “An Autonomous IoT Infrastructure for Fire Detection andAlerting System”, Department of Computer Science and Engineering PSNACET, 2018"
                },
                {
                    "path": "references.4.doi",
                    "from": null,
                    "to": "10.29294/ijase.11.2.2024.4001-4009"
                },
                {
                    "path": "references.4.key",
                    "from": null,
                    "to": "ref5"
                },
                {
                    "path": "references.4.unstructured",
                    "from": null,
                    "to": "U. Arun Ganesh, M. Anand, S. Arun, M. Dinesh, P. Gunaseelan and R. Karthik „Forest Fire Detection using Optimized Solar-Powered Zigbee Wireless Sensor Networks”, Bachelor‟s degree program in Electronic and Communication Engineering"
                },
                {
                    "path": "references.5.key",
                    "from": null,
                    "to": "ref6"
                },
                {
                    "path": "references.5.unstructured",
                    "from": null,
                    "to": "Ahmad AA Alkhatiib “Wireless Sensor Network for Forest Fire Detection and Decision Making”, International Journal of Advances inEngineering Science and Technology"
                },
                {
                    "path": "references.6.key",
                    "from": null,
                    "to": "ref7"
                },
                {
                    "path": "references.6.unstructured",
                    "from": null,
                    "to": "Lai R W (2004). Studies on the forest resources monitored by 3S technologies. Dissertation for the Doctoral Degree. Fuzhou: Fujian Agriculture and Forestry University (in Chinese)"
                },
                {
                    "path": "references.7.key",
                    "from": null,
                    "to": "ref8"
                },
                {
                    "path": "references.7.unstructured",
                    "from": null,
                    "to": "Ren F Y, Huang H N, Lin C (2003). Wireless sensor networks. J Software, 14(7): 1282–1291 (in Chinese)"
                },
                {
                    "path": "references.8.key",
                    "from": null,
                    "to": "ref9"
                },
                {
                    "path": "references.8.unstructured",
                    "from": null,
                    "to": "Shu L F, Zhang X L, Dai X A, Tian X R, Wang M Y (2003). Forest fire research (II): Fire forecast. World For Res, 16(4): 34–37 (in Chinese)"
                },
                {
                    "path": "references.9.key",
                    "from": null,
                    "to": "ref10"
                },
                {
                    "path": "references.9.unstructured",
                    "from": null,
                    "to": "Shu L F, Wang M Y, Zhao F J, Li H, Tian X R (2005). Comparison and application of satellites in forest fire monitoring. World For Res, 18(6): 49–53 (in Chinese)"
                },
                {
                    "path": "referent",
                    "from": null,
                    "to": "Creation"
                },
                {
                    "path": "structural_type",
                    "from": null,
                    "to": "Digital"
                },
                {
                    "path": "titles.0.lang",
                    "from": null,
                    "to": "en"
                },
                {
                    "path": "titles.0.type",
                    "from": null,
                    "to": "PrincipalTitle"
                },
                {
                    "path": "titles.0.value",
                    "from": null,
                    "to": "ZIGBEE BASED SOLAR POWERED FOREST FIRE DETECTION AND CONTROL SYSTEM"
                },
                {
                    "path": "type",
                    "from": null,
                    "to": "JournalArticle"
                }
            ],
            "record_after": {
                "format": "smartscholars-doi-metadata/1.0",
                "doi": "10.46243/jst.2024.v9.i01.pp161-169",
                "referent": "Creation",
                "type": "JournalArticle",
                "structural_type": "Digital",
                "modes": [
                    "Visual"
                ],
                "characters": [
                    "Language"
                ],
                "titles": [
                    {
                        "value": "ZIGBEE BASED SOLAR POWERED FOREST FIRE DETECTION AND CONTROL SYSTEM",
                        "type": "PrincipalTitle",
                        "lang": "en"
                    }
                ],
                "identifiers": [
                    {
                        "type": "DOI",
                        "value": "10.46243/jst.2024.v9.i01.pp161-169"
                    }
                ],
                "agents": [
                    {
                        "role": "author",
                        "name": {
                            "given": "Dr. Rakesh Kumar",
                            "family": "Dr. Rakesh Kumar"
                        },
                        "sequence": "first"
                    },
                    {
                        "role": "publisher",
                        "name": {
                            "org": "Longman Publishers"
                        }
                    }
                ],
                "dates": {
                    "published": "2024-01-25",
                    "date_type": "PublicationDate",
                    "online": "2024-01-25"
                },
                "language": "en",
                "container": {
                    "type": "Journal",
                    "titles": [
                        {
                            "value": "Journal of Science &amp; Technology",
                            "type": "PrincipalTitle"
                        }
                    ],
                    "identifiers": [
                        {
                            "type": "ISSN",
                            "value": "2456-5660",
                            "medium": "electronic"
                        }
                    ],
                    "volume": "9",
                    "issue": "1",
                    "pages": {
                        "first": "161",
                        "last": "169"
                    }
                },
                "links": [
                    {
                        "url": "https://www.jst.org.in/index.php/pub/article/view/59",
                        "return_type": "text/html",
                        "primary": true
                    },
                    {
                        "url": "https://www.jst.org.in/index.php/pub/article/download/59/51",
                        "purpose": "text-mining",
                        "return_type": "application/pdf"
                    },
                    {
                        "url": "https://www.jst.org.in/index.php/pub/article/download/59/1466",
                        "purpose": "text-mining",
                        "return_type": "application/xml"
                    }
                ],
                "abstract": {
                    "value": "Compared with the traditional techniques of forest fire detection, a wireless sensor network paradigm based on a ZigBee technique was proposed. The proposed technique is in real time, given the exigencies of forest fires. The architecture of a wireless sensor network for forest fire detection is described. The hardware circuitry of the ZIGBEE network node. The process of data transmission is discussed in detail. Environmental parameters such as temperature and humidity in the forest region can be monitored in real time. This system consists of three fire sensors, if any sensor activated it automatically turn on water pump and send the data to base station using zigbee then base station zigbee receiver receive the data and upload into server using IOT. From the information collected by the system, decisions for firefighting or fire prevention can be made more quickly by the relevant government departments.",
                    "lang": "en"
                },
                "license": {
                    "url": "https://creativecommons.org/licenses/by/4.0",
                    "start": "2024-01-25",
                    "applies_to": "vor"
                },
                "references": [
                    {
                        "key": "ref1",
                        "unstructured": "P.S. Jadhav, V.U. Deshmukh “Fire Monitoring System Based on Zigbee Wireless Sensor Networks”, PG Student, Assistant Professor, Vidya Pratisthanas College of Engineering Baramati, Pune University"
                    },
                    {
                        "key": "ref2",
                        "doi": "10.1007/s11461-008-0054-3",
                        "unstructured": "Junguo Zhang, Jiangming Kan, Wenbib Li “Forest Fire detection System based on Zigbee wireless sensor network”, Beijing Forestry University, September 2008"
                    },
                    {
                        "key": "ref3",
                        "unstructured": "Harinder “Forest Fire Detection using Wireless Sensor”, Department ofComputer Science and Engineering PSNACET, 2016"
                    },
                    {
                        "key": "ref4",
                        "unstructured": "R. Niranjana “An Autonomous IoT Infrastructure for Fire Detection andAlerting System”, Department of Computer Science and Engineering PSNACET, 2018"
                    },
                    {
                        "key": "ref5",
                        "doi": "10.29294/ijase.11.2.2024.4001-4009",
                        "unstructured": "U. Arun Ganesh, M. Anand, S. Arun, M. Dinesh, P. Gunaseelan and R. Karthik „Forest Fire Detection using Optimized Solar-Powered Zigbee Wireless Sensor Networks”, Bachelor‟s degree program in Electronic and Communication Engineering"
                    },
                    {
                        "key": "ref6",
                        "unstructured": "Ahmad AA Alkhatiib “Wireless Sensor Network for Forest Fire Detection and Decision Making”, International Journal of Advances inEngineering Science and Technology"
                    },
                    {
                        "key": "ref7",
                        "unstructured": "Lai R W (2004). Studies on the forest resources monitored by 3S technologies. Dissertation for the Doctoral Degree. Fuzhou: Fujian Agriculture and Forestry University (in Chinese)"
                    },
                    {
                        "key": "ref8",
                        "unstructured": "Ren F Y, Huang H N, Lin C (2003). Wireless sensor networks. J Software, 14(7): 1282–1291 (in Chinese)"
                    },
                    {
                        "key": "ref9",
                        "unstructured": "Shu L F, Zhang X L, Dai X A, Tian X R, Wang M Y (2003). Forest fire research (II): Fire forecast. World For Res, 16(4): 34–37 (in Chinese)"
                    },
                    {
                        "key": "ref10",
                        "unstructured": "Shu L F, Wang M Y, Zhao F J, Li H, Tian X R (2005). Comparison and application of satellites in forest fire monitoring. World For Res, 18(6): 49–53 (in Chinese)"
                    },
                    {
                        "key": "ref11",
                        "unstructured": "Song W G, Ma J, Satoh K, Wang J (2006). An analysis of multicorrelation between forest fire risk and weather parameters. Eng Sci, 8(2): 61–66 (in Chinese)"
                    },
                    {
                        "key": "ref12",
                        "unstructured": "Tian X R, McRae D J, Zhang Y H (2006). Assessment of forest fire danger rating systems. World For Res, 19(2): 39–46 (in Chinese)"
                    },
                    {
                        "key": "ref13",
                        "doi": "10.1117/12.578518",
                        "unstructured": "Tillett J, Yang S J, Rao R, Sahin F (2004). Optimal topologies for wireless sensor networks. In: Proceedings of SPIE–the International Society for Optical Engineering, Unmanned/ Unattended Sensors and Sensor Networks. London: SPIE, 192–203 Figure 5: Displayed the fire detected data. Dr. Rakesh Kumar, M. Sreeja, K. Kreethi, P. Srija: ZIGBEE BASED SOLAR POWERED FOREST FIRE DETECTION AND CONTROL SYSTEM"
                    },
                    {
                        "key": "ref14",
                        "doi": "10.1109/wcnm.2005.1544272",
                        "unstructured": "Yu L Y, Wang N, Meng X Q (2005). Real-time forest fire detection with wireless sensor networks. In: Proceedings of 2005 International Conference on Wireless Communications, Networking and Mobile Computing. Wuhan: WCNM, 1214–1217"
                    },
                    {
                        "key": "ref15",
                        "doi": "10.1109/icita.2005.313",
                        "unstructured": "Zenon C, Fady A (2005). Wireless sensor network based system for fire endangered areas. In: Proceedings of the 3rd International Conference on Information Technology and Applications. Sydney: ICITA, 203–207 Zhang G (2004). Study on forest fire dynamic monitoring in Guangzhou City. Dissertation for the Doctoral Degree. Zhuzhou: Central South Forestry University (in Chinese)"
                    }
                ],
                "record": {
                    "registrant": "Longman Publishers",
                    "registered": "2024-02-16",
                    "updated": "2026-09-17",
                    "issue_number": 1,
                    "source": "crossref-api",
                    "source_agency": "Crossref (member 25296)"
                }
            },
            "url_after": "https://www.jst.org.in/index.php/pub/article/view/59",
            "sha256_before": null,
            "sha256_after": "1af120cfb443fc11d658592ff244e44511cfaa72530b5f0708b8085b2795acde"
        },
        {
            "seq": 2,
            "kind": "update",
            "at": "2026-09-29 23:59:47",
            "by": "Administrator (admin)",
            "by_kind": "user",
            "note": "record re-read from api.crossref.org",
            "changes": [
                {
                    "path": "container.titles.0.value",
                    "from": "Journal of Science &amp; Technology",
                    "to": "Journal of Science & Technology"
                }
            ],
            "record_after": {
                "format": "smartscholars-doi-metadata/1.0",
                "doi": "10.46243/jst.2024.v9.i01.pp161-169",
                "referent": "Creation",
                "type": "JournalArticle",
                "structural_type": "Digital",
                "modes": [
                    "Visual"
                ],
                "characters": [
                    "Language"
                ],
                "titles": [
                    {
                        "value": "ZIGBEE BASED SOLAR POWERED FOREST FIRE DETECTION AND CONTROL SYSTEM",
                        "type": "PrincipalTitle",
                        "lang": "en"
                    }
                ],
                "identifiers": [
                    {
                        "type": "DOI",
                        "value": "10.46243/jst.2024.v9.i01.pp161-169"
                    }
                ],
                "agents": [
                    {
                        "role": "author",
                        "name": {
                            "given": "Dr. Rakesh Kumar",
                            "family": "Dr. Rakesh Kumar"
                        },
                        "sequence": "first"
                    },
                    {
                        "role": "publisher",
                        "name": {
                            "org": "Longman Publishers"
                        }
                    }
                ],
                "dates": {
                    "published": "2024-01-25",
                    "date_type": "PublicationDate",
                    "online": "2024-01-25"
                },
                "language": "en",
                "container": {
                    "type": "Journal",
                    "titles": [
                        {
                            "value": "Journal of Science & Technology",
                            "type": "PrincipalTitle"
                        }
                    ],
                    "identifiers": [
                        {
                            "type": "ISSN",
                            "value": "2456-5660",
                            "medium": "electronic"
                        }
                    ],
                    "volume": "9",
                    "issue": "1",
                    "pages": {
                        "first": "161",
                        "last": "169"
                    }
                },
                "links": [
                    {
                        "url": "https://www.jst.org.in/index.php/pub/article/view/59",
                        "return_type": "text/html",
                        "primary": true
                    },
                    {
                        "url": "https://www.jst.org.in/index.php/pub/article/download/59/51",
                        "purpose": "text-mining",
                        "return_type": "application/pdf"
                    },
                    {
                        "url": "https://www.jst.org.in/index.php/pub/article/download/59/1466",
                        "purpose": "text-mining",
                        "return_type": "application/xml"
                    }
                ],
                "abstract": {
                    "value": "Compared with the traditional techniques of forest fire detection, a wireless sensor network paradigm based on a ZigBee technique was proposed. The proposed technique is in real time, given the exigencies of forest fires. The architecture of a wireless sensor network for forest fire detection is described. The hardware circuitry of the ZIGBEE network node. The process of data transmission is discussed in detail. Environmental parameters such as temperature and humidity in the forest region can be monitored in real time. This system consists of three fire sensors, if any sensor activated it automatically turn on water pump and send the data to base station using zigbee then base station zigbee receiver receive the data and upload into server using IOT. From the information collected by the system, decisions for firefighting or fire prevention can be made more quickly by the relevant government departments.",
                    "lang": "en"
                },
                "license": {
                    "url": "https://creativecommons.org/licenses/by/4.0",
                    "start": "2024-01-25",
                    "applies_to": "vor"
                },
                "references": [
                    {
                        "key": "ref1",
                        "unstructured": "P.S. Jadhav, V.U. Deshmukh “Fire Monitoring System Based on Zigbee Wireless Sensor Networks”, PG Student, Assistant Professor, Vidya Pratisthanas College of Engineering Baramati, Pune University"
                    },
                    {
                        "key": "ref2",
                        "doi": "10.1007/s11461-008-0054-3",
                        "unstructured": "Junguo Zhang, Jiangming Kan, Wenbib Li “Forest Fire detection System based on Zigbee wireless sensor network”, Beijing Forestry University, September 2008"
                    },
                    {
                        "key": "ref3",
                        "unstructured": "Harinder “Forest Fire Detection using Wireless Sensor”, Department ofComputer Science and Engineering PSNACET, 2016"
                    },
                    {
                        "key": "ref4",
                        "unstructured": "R. Niranjana “An Autonomous IoT Infrastructure for Fire Detection andAlerting System”, Department of Computer Science and Engineering PSNACET, 2018"
                    },
                    {
                        "key": "ref5",
                        "doi": "10.29294/ijase.11.2.2024.4001-4009",
                        "unstructured": "U. Arun Ganesh, M. Anand, S. Arun, M. Dinesh, P. Gunaseelan and R. Karthik „Forest Fire Detection using Optimized Solar-Powered Zigbee Wireless Sensor Networks”, Bachelor‟s degree program in Electronic and Communication Engineering"
                    },
                    {
                        "key": "ref6",
                        "unstructured": "Ahmad AA Alkhatiib “Wireless Sensor Network for Forest Fire Detection and Decision Making”, International Journal of Advances inEngineering Science and Technology"
                    },
                    {
                        "key": "ref7",
                        "unstructured": "Lai R W (2004). Studies on the forest resources monitored by 3S technologies. Dissertation for the Doctoral Degree. Fuzhou: Fujian Agriculture and Forestry University (in Chinese)"
                    },
                    {
                        "key": "ref8",
                        "unstructured": "Ren F Y, Huang H N, Lin C (2003). Wireless sensor networks. J Software, 14(7): 1282–1291 (in Chinese)"
                    },
                    {
                        "key": "ref9",
                        "unstructured": "Shu L F, Zhang X L, Dai X A, Tian X R, Wang M Y (2003). Forest fire research (II): Fire forecast. World For Res, 16(4): 34–37 (in Chinese)"
                    },
                    {
                        "key": "ref10",
                        "unstructured": "Shu L F, Wang M Y, Zhao F J, Li H, Tian X R (2005). Comparison and application of satellites in forest fire monitoring. World For Res, 18(6): 49–53 (in Chinese)"
                    },
                    {
                        "key": "ref11",
                        "unstructured": "Song W G, Ma J, Satoh K, Wang J (2006). An analysis of multicorrelation between forest fire risk and weather parameters. Eng Sci, 8(2): 61–66 (in Chinese)"
                    },
                    {
                        "key": "ref12",
                        "unstructured": "Tian X R, McRae D J, Zhang Y H (2006). Assessment of forest fire danger rating systems. World For Res, 19(2): 39–46 (in Chinese)"
                    },
                    {
                        "key": "ref13",
                        "doi": "10.1117/12.578518",
                        "unstructured": "Tillett J, Yang S J, Rao R, Sahin F (2004). Optimal topologies for wireless sensor networks. In: Proceedings of SPIE–the International Society for Optical Engineering, Unmanned/ Unattended Sensors and Sensor Networks. London: SPIE, 192–203 Figure 5: Displayed the fire detected data. Dr. Rakesh Kumar, M. Sreeja, K. Kreethi, P. Srija: ZIGBEE BASED SOLAR POWERED FOREST FIRE DETECTION AND CONTROL SYSTEM"
                    },
                    {
                        "key": "ref14",
                        "doi": "10.1109/wcnm.2005.1544272",
                        "unstructured": "Yu L Y, Wang N, Meng X Q (2005). Real-time forest fire detection with wireless sensor networks. In: Proceedings of 2005 International Conference on Wireless Communications, Networking and Mobile Computing. Wuhan: WCNM, 1214–1217"
                    },
                    {
                        "key": "ref15",
                        "doi": "10.1109/icita.2005.313",
                        "unstructured": "Zenon C, Fady A (2005). Wireless sensor network based system for fire endangered areas. In: Proceedings of the 3rd International Conference on Information Technology and Applications. Sydney: ICITA, 203–207 Zhang G (2004). Study on forest fire dynamic monitoring in Guangzhou City. Dissertation for the Doctoral Degree. Zhuzhou: Central South Forestry University (in Chinese)"
                    }
                ],
                "record": {
                    "registrant": "Longman Publishers",
                    "registered": "2024-02-16",
                    "updated": "2026-09-17",
                    "issue_number": 1,
                    "source": "crossref-api",
                    "source_agency": "Crossref (member 25296)"
                }
            },
            "url_after": "https://www.jst.org.in/index.php/pub/article/view/59",
            "sha256_before": "1af120cfb443fc11d658592ff244e44511cfaa72530b5f0708b8085b2795acde",
            "sha256_after": "826b2f1d630fa9d1a8a1b97491fa6f9fd4ccb6f268d9c844667b407fdacf732b"
        }
    ]
}