[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-120453-en":3,"doc-seo-120453-105":29,"detail-sidebar-cat-0-en-105":89},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":20,"language":21,"language_code":22,"site_id":23,"html_lang":22,"table_of_contents":24,"faqs":25,"seo_title":26,"seo_description":14,"update_tm":27,"read_time":28},120453,962075114765,"Quinn","https://ap-avatar.wpscdn.com/davatar_a8503ba1806abce46bf441b54a3ca4cd",8,"Research & Report","FORECASTING OF FOREST FIRES THROUGH MACHINE LEARNING MODEL","Research focuses on pinpointing potential forest-fire risk areas, a worldwide concern intensified during summer. Local real-time sensor data enables acquisition of meteorological variables such as ambient temperature, humidity, and wind speed. These inputs compute the Forest Fire Weather Index (FWI) and estimate the probability of fire occurrence. Historical datasets and machine learning algorithms train predictive models, while an embedded system with sensors and Wi‑Fi mesh connectivity supports continuous data collection and rapid early detection to support prevention and response.","FORECASTING OF FOREST FIRES THROUGH MACHINE  \nLEARNING MODEL  \nMasud Rana Rashel1,2*, Md Tofael Ahmed 1,2 , Md Suruj Ali 1 , Hassin Mohammad  \nAshfaque3 and Mouhaydine Tlemçani 1,2  \n1: Instrumentation and Control Laboratory  \nInstitute of Earth Sciences (ICT)  \nUniversity of Èvora  \n7000-671, Évora, Portugal  \n2: Department of Mechatronics Engineering  \nSchool of Science & Technology  \nUniversity of Évora  \n7000-671, Évora, Portugal  \n3: Teton Private Ltd.  \nDhaka, Bangladesh  \ne-mail: {ahmed, m54057,[tlem}@uevora.pt](tlem}@uevora.pt) web: [http://www.icterra.pt/](http://www.icterra.pt/)  \nKeywords: machine learning, forest fire, forest fire weather index, internet of things, embedded system.  \nAbstract The focus of this research is on identifying potential areas of forest fires, which have become a significant issue worldwide, especially during the summer season. By using local sensor data in real-time, meteorological information such as ambient temperature, humidity, and wind speed can be obtained. These crucial parameters are used to calculate the forest fire weather index (FWI) and predict the probability of fire occurrence. This technique utilizes historical datasets and machine learning algorithms to develop models. An embedded system is designed, which includes different sensors and Wi-Fi mesh connectivity to transmit information. this research work focuses on the development of a system that uses real-time sensor data and machine learning algorithms to identify potential areas of forest fires and predict their occurrence, providing valuable insights that can aid in their prevention. The embedded system designed for this purpose allows for the collection and transmission of data in real-time, making it an important tool for early detection and rapid response to forest fires.  \nREFERENCES  \n[1] Li, W., Xu, Q., Yi, J. et al. Predictive model of spatial scale of forest fire driving factors: a case study of Yunnan Province, China. Sci Rep 12, 19029 (2022) .  \n[2] Ahsan, Muhammad Salimy, et al. \"Forest fire predicting using Naive Bayes and KNN algorithm.\" Sinkron: jurnal dan penelitian teknik informatika 7.4 (2022): 2340-2347.of the 4th International Workshop on Parallel and Symbolic Computation, Ed. Marc Moreno Maza and Jean-Louis Roch, Grenoble-France, pp. 22-25 , 2010.","cbCaitPwPnv8uYn0","https://ap.wps.com/l/cbCaitPwPnv8uYn0","pdf",71084,1,"English","en",105,"# Keywords\n# Abstract\n## Objectives and data pipeline\n## FWI-based prediction approach\n## Embedded system for real-time detection\n# References","[{\"question\":\"How does the system obtain the data needed for forecasting forest fires?\",\"answer\":\"It uses local sensors to collect real-time meteorological measurements such as ambient temperature, humidity, and wind speed.\"},{\"question\":\"What role does the Forest Fire Weather Index (FWI) play in the model?\",\"answer\":\"The collected meteorological parameters are used to calculate FWI, which then supports predicting the probability of fire occurrence.\"},{\"question\":\"What hardware and connectivity are included for real-time monitoring?\",\"answer\":\"An embedded system integrates multiple sensors and Wi‑Fi mesh connectivity to transmit collected data in real time.\"}]","FORECASTING OF FOREST FIRES THROUGH MACHINE LEARNING MODEL | PDF",1785730182,3,{"code":4,"msg":30,"data":31},"ok",{"site_id":23,"language":22,"slug":32,"title":13,"keywords":33,"description":14,"schema_data":34,"social_meta":84,"head_meta":86,"extra_data":88,"updated_unix":27},"forecasting-of-forest-fires-through-machine-learning-model","",{"@graph":35,"@context":83},[36,52,66],{"@type":37,"itemListElement":38},"BreadcrumbList",[39,43,47,49],{"item":40,"name":41,"@type":42,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":44,"name":45,"@type":42,"position":46},"https://docshare.wps.com/document/","Document",2,{"item":48,"name":12,"@type":42,"position":28},"https://docshare.wps.com/document/research-report/",{"item":50,"name":13,"@type":42,"position":51},"https://docshare.wps.com/document/forecasting-of-forest-fires-through-machine-learning-model/120453/",4,{"url":50,"name":13,"@type":53,"author":54,"headline":13,"publisher":56,"fileFormat":59,"inLanguage":22,"description":14,"dateModified":60,"datePublished":60,"encodingFormat":59,"isAccessibleForFree":61,"interactionStatistic":62},"DigitalDocument",{"name":9,"@type":55},"Person",{"url":40,"name":57,"@type":58},"DocShare","Organization","application/pdf","2026-08-03",true,{"@type":63,"interactionType":64,"userInteractionCount":4},"InteractionCounter",{"@type":65},"ViewAction",{"@type":67,"mainEntity":68},"FAQPage",[69,75,79],{"name":70,"@type":71,"acceptedAnswer":72},"How does the system obtain the data needed for forecasting forest fires?","Question",{"text":73,"@type":74},"It uses local sensors to collect real-time meteorological measurements such as ambient temperature, humidity, and wind speed.","Answer",{"name":76,"@type":71,"acceptedAnswer":77},"What role does the Forest Fire Weather Index (FWI) play in the model?",{"text":78,"@type":74},"The collected meteorological parameters are used to calculate FWI, which then supports predicting the probability of fire occurrence.",{"name":80,"@type":71,"acceptedAnswer":81},"What hardware and connectivity are included for real-time monitoring?",{"text":82,"@type":74},"An embedded system integrates multiple sensors and Wi‑Fi mesh connectivity to transmit collected data in real time.","https://schema.org",{"og:url":50,"og:type":85,"og:title":13,"og:site_name":57,"og:description":14},"article",{"robots":87,"canonical":50},"index,follow",{"doc_id":7,"site_id":23},{"code":4,"msg":5,"data":90},[91,95,99,103,108,113,118,121,126,129,133],{"id":20,"doc_module":4,"doc_module_name":45,"category_name":92,"show_sort_weight":93,"slug":94},"Story & Novel",90,"story-novel",{"id":46,"doc_module":4,"doc_module_name":45,"category_name":96,"show_sort_weight":97,"slug":98},"Literature",80,"literature",{"id":51,"doc_module":4,"doc_module_name":45,"category_name":100,"show_sort_weight":101,"slug":102},"Exam",70,"exam",{"id":104,"doc_module":4,"doc_module_name":45,"category_name":105,"show_sort_weight":106,"slug":107},5,"Comic",60,"comic",{"id":109,"doc_module":4,"doc_module_name":45,"category_name":110,"show_sort_weight":111,"slug":112},6,"Technology",50,"technology",{"id":114,"doc_module":4,"doc_module_name":45,"category_name":115,"show_sort_weight":116,"slug":117},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":45,"category_name":12,"show_sort_weight":119,"slug":120},30,"research-report",{"id":122,"doc_module":4,"doc_module_name":45,"category_name":123,"show_sort_weight":124,"slug":125},9,"Religion & Spirituality",20,"religion-spirituality",{"id":124,"doc_module":4,"doc_module_name":45,"category_name":127,"show_sort_weight":124,"slug":128},"World Cup","world-cup",{"id":130,"doc_module":4,"doc_module_name":45,"category_name":131,"show_sort_weight":130,"slug":132},10,"Lifestyle","lifestyle",{"id":134,"doc_module":4,"doc_module_name":45,"category_name":135,"show_sort_weight":104,"slug":136},19,"General","general"]