[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-124035-en":3,"doc-seo-124035-105":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},124035,8796095461610,"Oliver","https://ap-avatar.wpscdn.com/davatar_276721f389ce27ea32af1340a28f341c",8,"Research & Report","Development of Machine Learning Data Pipeline and Applications to Agricultural and Livestock Structures - Thesis Abstract","Big data analysis has become an in-demand capability as monitoring systems, wearables, and camera sources generate volumes of data beyond manual or traditional statistical processing. Lower computing costs and flexible machine learning enable scalable analytics across domains. This thesis investigates data science applications for precision livestock farming, including monitoring and anomaly detection for heat stress and modelling related milk quality dynamics, and extends to monitoring validation and energy-efficiency analysis of agro-industrial buildings using advanced analytics pipelines.","DOTTORATO DI RICERCA IN  \nSCIENZE E TECHNOLOGIE AGRARIE AMBIENTALI E ALIMENTARI  \nCiclo 36  \nSettore Concorsuale: 07/C1-INGEGNERIA AGRARIA, FORESTALE E DEI BIOSISTEMI  \nSettore Scientifico Disciplinare: AGR/10-COSTRUZIONI RURALI E TERRITORIOAGROFORESTALE  \nDEVELOPMENT OF MACHINE LEARNING DATA PIPELINE AND APPLICATIONS TO AGRICULTURAL AND LIVESTOCK STRUCTURES  \nPresentata da: Mattia Ceccarelli  \nCoordinatore Dottorato  \nMassimiliano Petracci  \nSupervisore  \nMarco Bovo  \nCo-supervisore  \nDaniele Torreggiani Daniel Remondini  \nEsame finale anno 2024  \n1  \nAbstract  \nBig data analysis has made its way up to being one of the most requested skill intoday’s world. Industries and research endeavours increasingly rely on advanced analytics techniques to navigate the vast volume of data originating from monitoring systems, wearables, cameras, and similar sources. The sheer amount of data collected has surpassed the feasibility of manual analysis or traditional statistical methods. Moreover, recent years have witnessed a significant reduction in the cost of powerful computing machines, enabling widespread access to advanced models for processing extensive datasets. The confluence of this accessible computational power and the inherent flexibility of machine learning has resulted in a thriving landscape for data analysis. Nowadays, machine learning technique are being applied in every sector, from physics to finance, from agriculture to medicine. In general, data science entails the ability to extract information, and eventually even knowledge, from large amount of data, often without the constraints of a meticulously designed experimental setup. This work delves into the applications of data science, specifically focusing on precision livestock farming, monitoring systems, and enhancing energy efficiency in agro-industrial buildings.  \nContents  \nIntroduction 5  \n1 Applications to Precision Livestock Housing 9  \n1.1 Anomaly Detection and heat stress ................... 10  \n1.1.1 Data collection and pre-processing ............... 11  \n1.1.2 Cross-correlation analysis .................... 13  \n1.1.3 Lactation curve modelling .................... 15  \n1.1.4 Anomaly Detection approach .................. 17  \n1.1.5 Results and Discussion ...................... 21  \n1.1.6 Application to real data ..................... 25  \n1.2 Effect of milking interval in Fat and Protein variability ........ 27  \n1.2.1 Data collection and pre-processing ............... 27  \n1.2.2 Preliminary Results and Discussion ............... 31  \n2 Advanced analytics for monitoring and energy analyses of agroindustrial buildings 35  \n2.1 Validation of monitoring system ..................... 36  \n2.1.1 Metric definition ......................... 37  \n2.1.2 Case study time series ...................... 39  \n2.2 Instruments Calibration ......................... 40  \n2.2.1 Calibration Models ........................ 41  \n2.2.2 Calibration Results ........................ 42  \n2.3 Monitoring of energy consumption .................... 46  \n2.3.1 Energy Analysis .......................... 46  \n2.3.2 Energy model ........................... 48  \n2.4 Agro-industrial buildings energy efficiency analysis ........... 52  \n2.4.1 Case study and simulations ................... 53  \n2.4.2 Features and Model selection .................. 55  \n2.4.3 Features Importance ....................... 57  \n2.4.4 Results and Discussions ..................... 57  \nConclusions 61  \nAcknowledgements 65  \nIntroduction  \nBig data analysis has made its way up to being one of the most requested skill in today’s world. This discipline intersect knowledge of mathematics, statistics, computer science and domain of application. With the advent of new monitoring technologies, many fields of research requires more advanced, quick and efficient algorithms for collecting, storing, analysing and visualising big data. As any other, the agricultural sector could benefit greatly from the introduction of modern pipeli","cbCaihnU3bxzAl7U","https://ap.wps.com/l/cbCaihnU3bxzAl7U","pdf",20071643,1,81,"English","en",105,"# Introduction\n## Applications to Precision Livestock Housing\n## Advanced analytics for monitoring and energy analyses of agroindustrial buildings\n# Conclusions\n# Acknowledgements","[{\"question\":\"What problem does the thesis address in data handling and analysis for agriculture?\",\"answer\":\"It addresses how to manage and analyze large datasets using machine learning when conventional algorithms and manual/statistical methods are not sufficient, focusing on precision livestock farming and agro-industrial building monitoring and energy efficiency.\"},{\"question\":\"Which two key problems are targeted in precision livestock farming?\",\"answer\":\"Identifying heat-stressed cows from commonly monitored parameters, and modelling milk quality parameters using milking-to-milking approaches with linear mixed models.\"},{\"question\":\"What types of methods are used for monitoring and energy analysis of agro-industrial buildings?\",\"answer\":\"The work includes validation of monitoring systems, instrument calibration models and results, energy consumption analysis, energy modelling, and energy-efficiency evaluation through case studies and simulations.\"}]","Development of Machine Learning Data Pipeline and Applications to Agricultural and Livestock Structures - Thesis Abstract | PDF",1785819979,204,{"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},"development-of-machine-learning-data-pipeline-and-applications-to-agricultural-and-livestock-structures-thesis-abstract","",{"@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/development-of-machine-learning-data-pipeline-and-applications-to-agricultural-and-livestock-structures-thesis-abstract/124035/",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 thesis address in data handling and analysis for agriculture?","Question",{"text":75,"@type":76},"It addresses how to manage and analyze large datasets using machine learning when conventional algorithms and manual/statistical methods are not sufficient, focusing on precision livestock farming and agro-industrial building monitoring and energy efficiency.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"Which two key problems are targeted in precision livestock farming?",{"text":80,"@type":76},"Identifying heat-stressed cows from commonly monitored parameters, and modelling milk quality parameters using milking-to-milking approaches with linear mixed models.",{"name":82,"@type":73,"acceptedAnswer":83},"What types of methods are used for monitoring and energy analysis of agro-industrial buildings?",{"text":84,"@type":76},"The work includes validation of monitoring systems, instrument calibration models and results, energy consumption analysis, energy modelling, and energy-efficiency evaluation through case studies and simulations.","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},[93,97,101,105,110,115,120,123,128,131,135],{"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":111,"doc_module":4,"doc_module_name":46,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"technology",{"id":116,"doc_module":4,"doc_module_name":46,"category_name":117,"show_sort_weight":118,"slug":119},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":121,"slug":122},30,"research-report",{"id":124,"doc_module":4,"doc_module_name":46,"category_name":125,"show_sort_weight":126,"slug":127},9,"Religion & Spirituality",20,"religion-spirituality",{"id":126,"doc_module":4,"doc_module_name":46,"category_name":129,"show_sort_weight":126,"slug":130},"World Cup","world-cup",{"id":132,"doc_module":4,"doc_module_name":46,"category_name":133,"show_sort_weight":132,"slug":134},10,"Lifestyle","lifestyle",{"id":136,"doc_module":4,"doc_module_name":46,"category_name":137,"show_sort_weight":106,"slug":138},19,"General","general"]