[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-122047-en":3,"doc-seo-122047-105":30,"detail-sidebar-cat-0-en-105":91},{"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":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},122047,8796095462418,"Noah","https://ap-avatar.wpscdn.com/avatar/80000253c1241d02b47?x-image-process=image/resize,m_fixed,w_180,h_180&k=1778826106357471780",8,"Research & Report","Evaluating the use of machine learning algorithms in environmental sensing for energy saving - Research report","Coastal lagoons function as highly complex ecosystems in which multiple interacting factors can significantly affect environmental quality and resource services. The SMARTLAGOON project integrates AI-based technologies with an efficient IoT sensing infrastructure to support the Mar Menor lagoon. The paper proposes a method to forecast chlorophyll and turbidity at future time instants using smart buoy data. Experimental results demonstrate that machine learning models can predict these sensed variables accurately, enabling energy-saving sensor operation.","Evaluating the use of machine learning algorithms in environmental sensing for energy saving  \nGiovanni Delnevo, Gianni Tumedei, Vittorio Ghini, Catia Prandi  \n{giovanni.delnevo2,gianni.tumedei2,vittorio.ghini, [catia.prandi2}@unibo.it](catia.prandi2}@unibo.it)[ ](catia.prandi2}@unibo.it)Department of Computer Science and Engineering  \nUniversity of Bologna  \nCesena, Italy  \nABSTRACT  \nCoastal lagoons are complex ecosystems characterized by the interaction of several actors, that can have a significant impact on them. The SMARTLAGOON project has the primary aim of integrating novel artificial intelligence-based technologies with an efficient Internet of Things (IoT) sensing infrastructure in the Mar Menor coastal lagoon. This paper presents an approach to predict some variables (chlorophyll and turbidity) usually sensed by the smart bouy in future instants of time. Results show that machine learning algorithms can accurately predict them.  \nCCS CONCEPTS  \n• Computing methodologies → Machine learning; • Computer systems organization → Sensor networks; Embedded systems.  \nKEYWORDS  \nenvironmental sensing, machine learning algorithms, coastal lagoons, digital twin  \nACM Reference Format:  \nGiovanni Delnevo, Gianni Tumedei, Vittorio Ghini, Catia Prandi.  \n2023. Evaluating the use of machine learning algorithms in environmental sensing for energy saving. In The 2nd Workshop on Networked Sensing Systems for a Sustainable Society (NET4us ’23), October 6, 2023, Madrid, Spain. ACM, New York, NY, USA, 6 pages. [https://doi.org/10.1145/3615991.3616402](https://doi.org/10.1145/3615991.3616402)  \n1 INTRODUCTION  \nCoastal lagoons are highly productive ecosystems with a number of different uses and services. Making up 13% of  \nThis work is licensed under a Creative Commons AttributionNonCommercial International 4.0 License.  \nNET4us’23, October 6, 2023, Madrid, Spain  \n© 2023 Copyright held by the owner/author(s) .  \nACM ISBN 979-8-4007-0365-2/23/10 . [https://doi.org/10.1145/3615991.3616402](https://doi.org/10.1145/3615991.3616402)  \nthe world’s coastline and approximately 5.3% of Europe [19], they are exploited for fishing, aquaculture, saltworks, and recreational activities, and play a crucial role in retaining and purifying pollutants, which is essential for the ecology of coastal areas [13] . Being affected by hydrological, hydrodynamic, ecological, and socioeconomic processes [6], these highly complex systems are particularly susceptible to both climate-related and human-induced pressures [1] .  \nThe Mar Menor coastal lagoon, situated in southeastern Spain, is the largest saltwater lagoon in Europe and is located in a region characterized by aridity and water scarcity [7] . The basin that drains into the Mar Menor experiences extensive land irrigation through water diversion from the near Tagus River, as well as excessive use of aquifers during drought periods [20] . Additionally, the Mar Menor attracts a significant population around it, as it relies on fishing and agriculture, as well as tourism during the summer season, as key economic activities [4, 9] . The rapid economic, social, and urban changes over the past several decades, along with historical mining impacts, have had numerous adverse effects on the ecological status of the Mar Menor, raising the need for urgent protective measures [10] .  \nIn this context, the SMARTLAGOON project, funded ina H2020 call, was developed with the primary aim of integrating novel artificial intelligence-based technologies with an efficient Internet of Things (IoT) sensing infrastructure. These technologies would gather input data for innovative socio-environmental dynamic models, enabling the forecasting of both short and long-term changes in the lagoon’s conditions. This information would then provide added value for management decisions aimed at safeguarding the ecosystem and services offered by the Mar Menor lagoon [2] . Not only that but the acquired knowledge can be applied to the realizat","cbCaimEDnIfMeKcy","https://ap.wps.com/l/cbCaimEDnIfMeKcy","pdf",1131744,1,6,"English","en",105,"# Abstract\n# Introduction\n## Coastal lagoons and the Mar Menor context\n## SMARTLAGOON project and energy-saving motivation\n# Methods\n## Dataset description\n## Methodology and feature preparation\n# Results\n## Prediction accuracy of machine learning algorithms\n# Conclusion\n## Final remarks and future work","[{\"question\":\"What problem does the document address in environmental monitoring?\",\"answer\":\"It targets prediction of chlorophyll and turbidity in coastal lagoons to support more efficient operation of sensing systems and reduce energy usage.\"},{\"question\":\"How is the data collected for the machine learning approach?\",\"answer\":\"The dataset is collected using a smart bouy deployed within the SMARTLAGOON project, with variables sensed at different time intervals and aggregated into averaged values.\"},{\"question\":\"Which variables are predicted using machine learning algorithms?\",\"answer\":\"The study predicts chlorophyll and turbidity for future time instants based on sensor measurements.\"}]","Evaluating the use of machine learning algorithms in environmental sensing for energy saving - Research report | PDF",1785808555,15,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"evaluating-the-use-of-machine-learning-algorithms-in-environmental-sensing-for-energy-saving-research-report","",{"@graph":36,"@context":85},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/evaluating-the-use-of-machine-learning-algorithms-in-environmental-sensing-for-energy-saving-research-report/122047/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-04",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"What problem does the document address in environmental monitoring?","Question",{"text":75,"@type":76},"It targets prediction of chlorophyll and turbidity in coastal lagoons to support more efficient operation of sensing systems and reduce energy usage.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"How is the data collected for the machine learning approach?",{"text":80,"@type":76},"The dataset is collected using a smart bouy deployed within the SMARTLAGOON project, with variables sensed at different time intervals and aggregated into averaged values.",{"name":82,"@type":73,"acceptedAnswer":83},"Which variables are predicted using machine learning algorithms?",{"text":84,"@type":76},"The study predicts chlorophyll and turbidity for future time instants based on sensor measurements.","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,114,119,122,127,130,134],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":21,"doc_module":4,"doc_module_name":46,"category_name":111,"show_sort_weight":112,"slug":113},"Technology",50,"technology",{"id":115,"doc_module":4,"doc_module_name":46,"category_name":116,"show_sort_weight":117,"slug":118},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":120,"slug":121},30,"research-report",{"id":123,"doc_module":4,"doc_module_name":46,"category_name":124,"show_sort_weight":125,"slug":126},9,"Religion & Spirituality",20,"religion-spirituality",{"id":125,"doc_module":4,"doc_module_name":46,"category_name":128,"show_sort_weight":125,"slug":129},"World Cup","world-cup",{"id":131,"doc_module":4,"doc_module_name":46,"category_name":132,"show_sort_weight":131,"slug":133},10,"Lifestyle","lifestyle",{"id":135,"doc_module":4,"doc_module_name":46,"category_name":136,"show_sort_weight":106,"slug":137},19,"General","general"]