With the recent advancement of the Internet of Things (IoT), it is now possible to process a large number of sensor data streams using different large-scale IoT platforms. These IoT frameworks are used to collect, process and analyse data streams in real-time and facilitate provision of smart solutions
designed to provide decision support. Existing IoT-based solutions are mainly domain-dependent, providing stream processing and analytics focusing on specific areas (smart cities, healthcare etc.). In the context of agri-food industry, a variety of external parameters belonging to different domains (e.g. weather conditions, regulations etc.) have a major influence over the food supply chain, while flexible and adaptive IoT frameworks, essential to truly realize the concept of smart farming, are currently inexistent. In this presentation, we propose Agri-IoT, a semantic framework for IoT-based smart farming applications, which supports reasoning over
various heterogeneous sensor data streams in real-time. Agri-
IoT can integrate multiple cross-domain data streams, providing
a complete semantic processing pipeline, offering a common
framework for smart farming applications. Agri-IoT supports
large-scale data analytics and event detection, ensuring seamless interoperability among sensors, services, processes, operations, farmers and other relevant actors, including online information sources and linked open datasets and streams available on the Web.
Why apply IoT in agriculture? Special aspects to consider for
IoT in agriculture. IoT application in this field.
More information on our website: http://aggregate.tibbo.com/industries/agriculture.html
This is a mini project based on the agricultural system which differs from traditional agricultural system as it is directed by the IOT devices. Some relevant information of conventional system were also discussed to differentiate between both the systems.
India, whose GDP depends on the agriculture is not a developed nation in terms of modernization in agriculture. The high cost of labor, uncertainty in the production of crops, lack of knowledge about new methods, continuing with the same orthodox and traditional means to go about agriculture, the inefficient use of proper irrigational facilities results in low productivity. Due to this uncertainty in the irrigation process the crops may also dry up. About 14.7% of India’s growth depends on the agricultural sector, so it’s a huge cause of concern.
With this project, the current problems related to farming are solved and practically implemented solutions are provided. Using IOT as well as GSM, a whole new concept of farming using networks is introduced reducing labor, updating farmer about the live conditions of farm on the mobile devices and presenting its graphical value using thing speak. It makes the process handy with the click a button reformation.
We evaluate the performance of our method in a simple temperature sensing application. In terms of reducing human efforts and ease of irrigation, our approach has been observed to outperform the existing conventional approach. We bring out the advantages and disadvantages followed by their applications. The paper concludes the work open for research.
Internet of Things ( IOT) in AgricultureAmey Khebade
Application of IOT in Agriculture
Monitoring soil moisture and temperature
Controlled irrigation
Efficient usage of input like water, fertilizers, pesticides, etc
Reduced cost of production
Connected greenhouses and stables
Livestock monitoring
Download PPT for better design and animation
We can predict soil moisture level and motion of predators.
Irrigation system can be monitored .
Damage caused by predators is reduced.
Increased productivity.
Water conservation.
Profit to farmers.
Why apply IoT in agriculture? Special aspects to consider for
IoT in agriculture. IoT application in this field.
More information on our website: http://aggregate.tibbo.com/industries/agriculture.html
This is a mini project based on the agricultural system which differs from traditional agricultural system as it is directed by the IOT devices. Some relevant information of conventional system were also discussed to differentiate between both the systems.
India, whose GDP depends on the agriculture is not a developed nation in terms of modernization in agriculture. The high cost of labor, uncertainty in the production of crops, lack of knowledge about new methods, continuing with the same orthodox and traditional means to go about agriculture, the inefficient use of proper irrigational facilities results in low productivity. Due to this uncertainty in the irrigation process the crops may also dry up. About 14.7% of India’s growth depends on the agricultural sector, so it’s a huge cause of concern.
With this project, the current problems related to farming are solved and practically implemented solutions are provided. Using IOT as well as GSM, a whole new concept of farming using networks is introduced reducing labor, updating farmer about the live conditions of farm on the mobile devices and presenting its graphical value using thing speak. It makes the process handy with the click a button reformation.
We evaluate the performance of our method in a simple temperature sensing application. In terms of reducing human efforts and ease of irrigation, our approach has been observed to outperform the existing conventional approach. We bring out the advantages and disadvantages followed by their applications. The paper concludes the work open for research.
Internet of Things ( IOT) in AgricultureAmey Khebade
Application of IOT in Agriculture
Monitoring soil moisture and temperature
Controlled irrigation
Efficient usage of input like water, fertilizers, pesticides, etc
Reduced cost of production
Connected greenhouses and stables
Livestock monitoring
Download PPT for better design and animation
We can predict soil moisture level and motion of predators.
Irrigation system can be monitored .
Damage caused by predators is reduced.
Increased productivity.
Water conservation.
Profit to farmers.
Using IoT as well as GSM, a whole new concept of farming using networks is introduced reducing labor, updating farmers about the live conditions of farms on mobile devices, and presenting its graphical values.
It makes the process handy with the click of a button.
Technologies available in the field of agriculture making an easy task for the farmers in increasing the productivity and other techniques of irrigation resulting in better use of water resources available.
By applying IoT to agriculture it is easy to observe and interact with physical world. Synergizing Internet of Things and Cloud Computing can help the farmers to share useful information regarding cultivation on social networks, and also helps in ensuring global food and farming security
Artificial intelligence of things(AIoT): What is AIoT: AIoT applicationsAnusha Aravindan
AIoT(Artificial intelligence of things) is a relatively new term and has recently become a hot topic which combines two of the hottest acronyms AI( Artificial intelligence) and Internet of things (IoT)
Machine Learning in Agriculture Module 1Prasenjit Dey
Discuss the opportunities of incorporation of machine learning in agriculture. Briefly discuss different machine learning strategies. Briefly discuss the ways of machine learning can be used
Internet of Things (IoT) is the internetworking of physical devices. This system has the ability to transfer data over a network. Mostly without requiring human intervention.Internet-connected to the physical world via ubiquitous sensors.
It is connecting each and everything to the internet.
Today the use of data is having a very revolutionized effect with
cultivatable land in decline demand for food increasing from
developing countries farmers.
Farmers who use data are capable of turning ordinary harvests into
bumper crops and profits behind.This is the precision agriculture hub connecting the world’s biggest agricultural businesses farmers and suppliers using integrated software solutions.
KG2 develops campaigns to target growers who require insurance cover at seasonally receptive times. The direct marketing techniques assist clients to accurately target the right customer.
Using IoT as well as GSM, a whole new concept of farming using networks is introduced reducing labor, updating farmers about the live conditions of farms on mobile devices, and presenting its graphical values.
It makes the process handy with the click of a button.
Technologies available in the field of agriculture making an easy task for the farmers in increasing the productivity and other techniques of irrigation resulting in better use of water resources available.
By applying IoT to agriculture it is easy to observe and interact with physical world. Synergizing Internet of Things and Cloud Computing can help the farmers to share useful information regarding cultivation on social networks, and also helps in ensuring global food and farming security
Artificial intelligence of things(AIoT): What is AIoT: AIoT applicationsAnusha Aravindan
AIoT(Artificial intelligence of things) is a relatively new term and has recently become a hot topic which combines two of the hottest acronyms AI( Artificial intelligence) and Internet of things (IoT)
Machine Learning in Agriculture Module 1Prasenjit Dey
Discuss the opportunities of incorporation of machine learning in agriculture. Briefly discuss different machine learning strategies. Briefly discuss the ways of machine learning can be used
Internet of Things (IoT) is the internetworking of physical devices. This system has the ability to transfer data over a network. Mostly without requiring human intervention.Internet-connected to the physical world via ubiquitous sensors.
It is connecting each and everything to the internet.
Today the use of data is having a very revolutionized effect with
cultivatable land in decline demand for food increasing from
developing countries farmers.
Farmers who use data are capable of turning ordinary harvests into
bumper crops and profits behind.This is the precision agriculture hub connecting the world’s biggest agricultural businesses farmers and suppliers using integrated software solutions.
KG2 develops campaigns to target growers who require insurance cover at seasonally receptive times. The direct marketing techniques assist clients to accurately target the right customer.
The author is unknown as there is no mention. The document is uploaded and shared to spread information among the students and faculty members in concern to GTU's Vishvakarma Yojana. The concept of developing Smart Village is in new approach where the presentation gives an idea about developing a Smart Village in Gujarati Language. Obtained from Panchayat, Rural Housing & Rural Development Department, Govt. of Gujarat
Seoul | Jun-15 | Smart Villages Agenda & ConceptSmart Villages
Given by: Dr Terry van Gevelt
Our Seoul media workshop was a two-day residential event featuring a combination of background briefings from local and international experts and entrepreneurs on energy markets and developments in the South East Asian off-grid sector. The workshop offered an opportunity to explore the Smart Villages concept and study nascent Smart Village projects and relevant technologies from around the world.
Big Data in Agriculture, the SemaGrow and agINFRA experienceAndreas Drakos
Presentation of the SemaGrow and agINFRA projects during the EDBT/ICDT 2014 Special Track on Big Data Management Challenges and Solutions in the Context of European Projects, 27th of March 2014
http://www.edbticdt2014.gr/index.php/eu-projects-track
[AIIM17] Knowledge Management and the Internet of Things - Katrina PughAIIM International
For the last fifteen years, we knowledge-practitioners have been working with search-related tools to index and combine structured and unstructured data to be pushed or pulled into decisions. With the Internet of Things, intelligence is now everywhere. This is our time to shine. While pundits debate whether robots augment or replace humans, we submit that IoT will be OUR work. IoT will be both more ubiquitous and more chaotic. This session looks at IoT from a knowledge-practitioner perspective, and explores how we can apply 20 years of KM experience to the "Third Wave" of internet disruption.
Learn about the current state of Information Management in AIIM’s latest report: http://info.aiim.org/2017-state-of-information-management
Estimating the Impact of Agriculture on the Environment of Catalunya by means...Andreas Kamilaris
Because of insufficient accessible arable land, intensive farming has been linked to excessive accumulation of phosphorous, heavy metals, and other soil contaminants, as well as to significant groundwater pollution with nitrate. Deterioration of soil water quality is especially worrying at the bioclimatic Mediterranean area, especially under the current context of climate change. Hence, it is necessary to develop a common body of knowledge, shared at the local and regional levels of the countries involved and affected, so as to allow an effective monitoring of cropping systems, fertilization and water demands, and impacts of climate change, with a focus on the sustainability and the protection of the physical environment.
In this presentation, we describe AgriBigCAT, an online software platform that combines geophysical information from various diverse sources, together with big data analysis, in order to estimate the impact of the agricultural sector on the environment, considering land, water, biodiversity and natural areas requiring protection, such as forests and wetlands. Based on the P-Sphere project, this platform intends to promote more sustainable agriculture, by designing and developing an information and knowledge-based platform, using a big data approach for managing and analyzing a wide range of geospatial and mainstream information, which can be accessible by standard communication technologies such as the internet/web and mobile apps. this platform can also assist both the farmers' decision-taking processes and the administration planning and policy making, with the ultimate objective of meeting the challenge of increasing food production at a lower environmental impact.
This presentation will discuss how the structured data, together with the semantically indexed/mined entities in semi-structured and unstructured data, are contributing to researches beyond libraries, especially in digital humanities. It aims to explore the opportunities and strategies to use, reuse, share, and effectively elaborate the smart data -- generated or to be generated -- in libraries.
Indexing the Real World Sensor Networks (at RE.WORK Internet of Things Summit...Rainer Sternfeld
This talk focuses on how harnessing sensor data intelligently (proprietary, commercial and public) enables to build better applications, what are the operational challenges of oil spill responses, and what kind of sensor networks are being utilized in weather forecasting, environmental monitoring and beyond.
Planet OS is a software platform for real-world sensor data integration, designed for ocean, land, air and space-based applications. Planet OS has developed a powerful suite that combines data mining, integration, search, visualization, analytics and secure data exchange between parties. It offers a single interface to work with all your proprietary (local and remote), commercial or open data.
Big data analysis and Integration of Geophysical information from the Catalan...Andreas Kamilaris
The intensification of agriculture in Catalunya creates serious concerns over its impact on the physical environment, in terms of deteriorating the air, soils as well as rivers and lakes. It is particularly important to quantify and understand this impact, in order to perceive overall implications and to develop effective strategies to mitigate its effects. In this presentation, I describe our efforts in combining geospatial information and big data analysis in order to measure the environmental impact of agriculture, with a focus on animal manure. The problems and issues of discovering, locating and understanding relevant datasets are discussed, together with suggestions on how data could become more open and easier to reach and understand.
Arkady Zaslavsky, Charith Perera, Dimitrios Georgakopoulos, Sensing as a Service and Big Data, Proceedings of the International Conference on Advances in Cloud Computing (ACC), Bangalore, India, July, 2012, Pages 21-29 (8)
Water scarcity nowadays is a big concern for farmers and with this growing population of our country agriculture becomes a serious and main problem that our framers are facing today. The main objective of the project is providing automatic irrigation system that switches a motor pump ONOFF by sensing moisture content of the soil through application of Internet of Things (IOT). Human intervention can be reduced by proper method of irrigation. The project consists of Arduino microcontroller and sensor, where Arduino microcontroller is programmed to receive the input signal of varying moisture condition of the soil through sensor. Once the controller receives these signal, the output then relay on operating the water pump. The sensing arrangement is made up of two metallic rods inserted to the agriculture field which is required to be controlled. Priyanka Lahande | Dr. Basavaraj Mathpathi"IoT Based Smart Irrigation System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-5 , August 2018, URL: http://www.ijtsrd.com/papers/ijtsrd15827.pdf http://www.ijtsrd.com/computer-science/embedded-system/15827/iot-based-smart-irrigation-system/priyanka-lahande
This presentation was given by Prof. K N Subramanya, Principal, RV College of Engineering & CoE IoT during IoTForum's AgriTech Day 2019 on February 9, 2019 at NIANP-ICAR, Bangaluru
ICT-AGRI agenda on digitization of agriculturee-ROSA
Niels Gøtke and Christopher Brewster's presentation at the eROSA Workshop “Towards Open Science in Agriculture & Food”, a side event to High Level conference on FOOD 2030, Plovdiv, Bulgaria (13/6/2018)
FIWARE Wednesday Webinars - Architecting Your Smart Solution Using FIWAREFIWARE
Architecting Your Smart Solution Powered by FIWARE Webinar - 24 June 2020
Corresponding webinar recording: https://youtu.be/pTkZk4VF0gY
Learn how Smart Solutions solving a particular challenge are architected with FIWARE.
Chapter: Cross-Domain
Difficulty: 2
Audience: Any Technical
Presenter: Antonio Jare (CEO, HOPU) and (CTO, FIWARE Foundation)
Enabling the physical world to the Internet and potential benefits for agricu...Andreas Kamilaris
The Internet of Things (IoT) allows physical devices that live inside smart homes, offices, roads, electricity networks and city infrastructures to seamlessly communicate through the Internet while the forthcoming Web of Things (WoT) ensures interoperability at the application level through standardized Web technologies and protocols. In this presentation, we explain the concepts of the IoT and the WoT and their potential through various applications in the aforementioned domains. Then, we examine how the IoT/WoT can be used in the agri-food industry in order to enable novel smart farming technologies and applications,considering the recent technological opportunities for big data analysis.
APPLICATION OF INFORMATION AND COMMUNICATION TOOLS (ICTs) IN MODERN AGRICULTURESREENIVASAREDDY KADAPA
ICT can deliver fast, reliable, and accurate information in a user-friendly manner for practical utilization by the end-user. ICT includes any communication device or application encompassing radio, television, cellular phones, computer and network hardware and software, satellite systems, and as well as the various services and applications associated with them, such as videoconferencing and digital learning.
APPLICATION OF BIG DATA IN ENHANCING EFFECTIVE DECISION MAKING IN AGRICULTURA...Sjaak Wolfert
The agriculture production system increasingly becomes data-driven and data-enabled based on the cyber-physical management cycle. This paper describes several IoT-applications of the EU-funded IoF2020 project in which data and data-sharing plays a crucial role. It provides an integrative framework aiming at cross-fertilisation, co-creation and co-ownership of results. Technical integration, business support and ecosystem development are key mechanisms to realize this.
Similar to Agri-IoT: A Semantic Framework for Internet of Things-enabled Smart Farming Applications (20)
Experiences from the use of CovTracer: A contact tracing tool deployed in Cyp...Andreas Kamilaris
How can an app help the fight against COVID-19?
Combating the spread of the COVID-19 epidemic requires the rapid identification of people who have come into recent contact with confirmed cases of the SARS-Cov-2 virus. This allows for timely interventions such as evacuation and disinfection of spaces and for assistance in locating people who have been close to a carrier or have been exposed to the virus, so that they too can be appropriately tested or treated.
CovTracer is a mobile app for location tracking. It has been used at a country-scale experiment in Cyprus with more than 10,000 users. The app aims to contribute to the reduction of the spread of coronavirus (COVID-19) in our country. The app was developed by a team of researchers and experts at RISE. Andreas Kamilaris is an MRG leader at RISE and the key topics of this presentations are:
- Need for ICT and mobile apps
- CovTracer features
- Aspects of privacy in contact tracing
- Initial results
- Future plans
Transferring manure from livestock farms to be used as fertilizer in crop fieldsAndreas Kamilaris
Presented my research work on the topic of "Transferring manure from livestock farms to be used as fertilizer in crop fields"to the Workshop on Agricultural Robotics at AgriFoodTech 2019, in Netherlands.
Training deep learning models to count using synthetic imagesAndreas Kamilaris
This presentation describes preliminary work in the recent promising approach of generating synthetic training data for facilitating the learning procedure of deep learning (DL) models, with a focus on aerial photos produced by unmanned aerial vehicles (UAV). The general concept and methodology are described, and preliminary results are presented, based on a classification problem of fire identification in forests as well as a counting problem of estimating number of houses in urban areas. The proposed technique constitutes a new possibility for the DL community, especially related to UAV-based imagery analysis, with much potential, promising results, and unexplored ground for further research.
Geospatial Analysis and Internet of Things in Environmental InformaticsAndreas Kamilaris
Geospatial analysis offers large potential for better understanding, modelling and visualizing our natural and artificial ecosystems, using Internet of Things as a pervasive sensing infrastructure. This presentation performs a review of research work based on the IoT, in which geospatial analysis has been employed in environmental informatics. Six different geospatial analysis methods have been identified, presented together with 26 relevant IoT initiatives adopting some of these techniques. Analysis is performed in relation to the type of IoT devices used, their deployment status and data transmission standards, data types employed, and reliability of measurements. This paper scratches the surface of this combination of technologies and techniques, providing indications of how IoT, together with geospatial analysis, are currently being used in the domain of environmental research.
Presented at EnviroInfo 2018 at Munich, Germany.
A Review on the Application of Natural Computing in Environmental InformaticsAndreas Kamilaris
Natural computing offers new opportunities to understand, model and analyze the complexity of the physical and human-created environment. This presentation examines the application of natural computing in environmental informatics, by investigating related work in this research field. Various nature-inspired techniques are presented, which have been employed to solve different relevant problems. Advantages and disadvantages of these techniques are discussed, together with analysis of how natural computing is generally used in environmental research.
Presented at EnviroInfo 2018 at Munich, Germany (September 2018)
The evolution of pervasive computing towards a Web of ThingsAndreas Kamilaris
This presentation observes and describes the evolution of pervasive computing towards a global, real-time digital web of physical objects and everyday things. Applications in real life are presented, together with future challenges and projections.
AgriBigCAT: An Online Platform for Estimating the Impact of Livestock Agricul...Andreas Kamilaris
Intensive farming has been linked to excessive accumulation of heavy metals and other contaminants on soil, and to significant groundwater pollution with nitrates. Hence, it is necessary to develop a common body of knowledge, so as to allow an effective monitoring of cropping systems, fertilization and water demands, and impacts of climate change, with a focus on the sustainability and the protection of the physical environment. In this presentation, we describe AgriBigCAT, an online software platform that uses geophysical information from various diverse sources, employing geospatial and big data analysis, together with web technologies, in order to estimate the impact of the agricultural sector on the environment. It considers land, water, biodiversity and natural areas requiring protection, such as forests and wetlands. This platform can assist both the farmers' decision-taking processes and the administration planning and policy-making, with the ultimate objective of meeting the challenge of increasing food production at a lower environmental impact. An online application of AgriBigCAT, focusing on the local environmental issues of the agricultural sector of Catalonia, is presented and described, together with some preliminary analysis findings. This presentation has been prepared for the EFITA 2017 Congress in Montpellier.
Estimating the Environmental Impact of Agriculture by means of Geospatial and...Andreas Kamilaris
Intensive farming has been linked to significant degradation of land, water and air. A common body of knowledge is needed, to allow an effective monitoring of cropping systems, fertilization and water demands, and impacts of climate change, with a focus on sustainability and protection of the physical environment. In this presentation, we describe AgriBigCAT, an online software platform that uses geo-physical information from various diverse sources, employing geospatial and big data analysis, together with web technologies, in order to estimate the impact of the agricultural sector on the environment, considering land, water, biodiversity and natural areas requiring protection, such as forests and wetlands. This platform can assist both the farmers' decision-taking processes and the administration planning and policy making, with the ultimate objective of meeting the challenge of increasing food production at a lower environmental impact. Presentation at the EnviroInfo 2017 Conference in Luxembourg.
Disaster Monitoring using Unmanned Aerial Vehicles and Deep LearningAndreas Kamilaris
Monitoring and identification of disasters are crucial for mitigating their effects on the
environment and on human population, and can be facilitated by the use of unmanned aerial vehicles
(UAV), equipped with camera sensors which can produce frequent aerial photos of the areas of interest. A
modern, promising technique for recognition of events based on aerial photos is deep learning. In this paper,
we present the state of the art work related to the use of deep learning techniques for disaster monitoring
and identification. Moreover, we demonstrate the potential of this technique in identifying disasters
automatically, with high accuracy, by means of a relatively simple deep learning model. Based on a small
dataset of 544 images (containing images of disasters such as fires, earthquakes, collapsed buildings,
tsunami and flooding, as well as “non-disaster” scenes), our preliminary results show an accuracy of 91%
achieved, indicating that deep learning, combined with UAV equipped with camera sensors, have the
potential to predict disasters with high accuracy in the near future. Presented at the EnviroInfo 2017 Conference in Luxembourg.
A Web of Things Based Eco-System for Urban Computing - Towards Smarter CitiesAndreas Kamilaris
Environmental awareness and knowledge may help people to take more informed decisions in their everyday lives, ensuring their health and safety. The Web of Things enables embedded sensors to become easily deployed in urban areas for environmental monitoring such as air quality, electromagnetism, radiation, etc. In this presentation, we propose an eco-system for urban computing which combines the concept of the Web of Things, together with big data analysis and event processing, towards the vision of smarter cities that offer real-time information to their habitants about the urban environment. We touch upon near real-time web-based discovery of sensory services, citizen participation, semantic technologies and mobile computing, helping people to take more informed everyday decisions when interacting with their urban landscape. We then present a case study where we demonstrate the feasibility and usefulness of this eco-system to the everyday lives of citizens.
This research has been supported by the P-SPHERE project, which has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skodowska-Curie grant agreement No 665919.
Do ”Web of Things Platforms” Truly Follow the Web of Things?Andreas Kamilaris
The Web of Things (WoT) aspires to bring interoperability at the application layer, on top of the Internet of Things. Many state of the art platforms and frameworks claim to support
the WoT, following its principles towards the seamless integration of heterogeneous physical devices and real-world services at the web. But do these platforms truly comply to the concepts of the WoT or only follow some of its characteristics? Do designers understand the WoT when claiming that their products follow the WoT specifications? This publication lists the main elements of the WoT, as defined by pioneering works in the field and examines 26 popular platforms and frameworks, aiming to shed light on how the WoT is understood and applied, both in academia and commerce.
WOTS2E: A Search Engine for a Semantic Web of ThingsAndreas Kamilaris
A Semantic Web of Things (SWoT) brings together the Semantic Web and the Web of Things (WoT), associating
semantically annotated information to web-enabled physical de-
vices, services and their data, towards seamless data integration and better understanding of real-world information. A missing element in order to realize SWoT is a standardized, scalable and flexible way to globally discover in (near) real time web-connected embedded devices, as well as their semantic data. To address this gap, we propose WOT Semantic Search Engine (WOTS2E), which is a search engine for the SWoT, based on web crawling, being able to discover Linked Data endpoints and, through them, WoT-enabled devices and their services. In this presentation, we describe the design, development and implementation of WOTS2E, as well as an evaluation procedure showing its operation and performance across the web.
A comprehensive user manual of the Social Electricity application, including information related to how to register/login/use the main features of the app.
Social Electricity is an online application helping people to manage their personal consumption collaboratively, by interacting and comparing with friends, neighbours and other users from the Social Electricity community.
An online application helping people to manage their personal consumption collaboratively, by interacting and comparing with friends, neighbours and other users from the Social Electricity community.
Social Electricity Online Platform (SEOP) EU Project DescriptionAndreas Kamilaris
Social Electricity Online Platform (SEOP) is a European project funded by the Lifelong Learning Programme. Started officially in January, 2014 with mission to develop online learning modules, educational content and online eco-feedback platforms, to raise the awareness and knowledge of citizens about energy, the environment and sustainability, by using modern educational techniques and learning approaches. An important achievement is Social Electricity, an online application helping people to manage their personal consumption collaboratively, by interacting and comparing with friends, neighbors and other users.
website: http://www.seop-project.eu/
Social Electricity:http://www.social-electricity.com
How the Internet can motivate you to switch off the lightsAndreas Kamilaris
This presentation, entitled "How the Internet can motivate you to switch off the lights" explains how citizens can perform personal energy management by means of an online Web application called Social Electricity.
It was presented by Dr. Andreas Kamilaris to the Podium for New Scientists series of events, organized by the Youth Board of Cyprus, at Melina Merkouri house, Old Nicosia, Cyprus on 3rd March 2015. The event was attended by the Major of Nicosia and the Minister of Education of Cyprus.
Good Practices in the Use of ICT Equipment for Electricity Savings at a Unive...Andreas Kamilaris
This presentation has been presented at the 5th International Green Computing Conference (IGCC), Dallas, Texas USA, November 2014. Abstract of the corresponding research paper follows:
The commercial sector is responsible in a large degree for the overall energy consumption around the world and Information and Communication Technologies (ICT) constitute an important category of electricity loads which is becoming dominant in offices. Recognizing the importance of using ICT equipment more rationally for saving energy in commercial buildings, we have performed an energy audit of ICT loads at the School of Design and Environment, National University of Singapore, using smart power outlets. After a six-month period through which we have measured and analyzed the consumption of the most representative ICT devices available at the school, we have identified various good practices in the use of office equipment, in order to reduce the total electricity footprint of the building. Most of our practices can be generalized for offices and commercial buildings.
Cite the paper as follows: ndreas Kamilaris, Dang Truong Hoang Ngan, Alexandros Pantazaras, Balaji Kalluri, Sekhar Kondepudi and Tham Kwok Wai. Good Practices in the Use of ICT Equipment for Electricity Savings at a University Campus. In Proc. of the 5th International Green Computing Conference (IGCC), Dallas, Texas USA, November 2014.
Raising Awareness and Learning Practices of Citizens for Energy SavingsAndreas Kamilaris
This presentation has been presented as an invited talk at the School of Design and Environment, National University of Singapore (NUS), at Singapore in April, 2014. It focuses on eco-feedback approaches and techniques for raising the awareness of occupants of residential and commercial buildings and offices, aiming to encourage them to save energy. Two recent social eco-feedback Web platforms, Social Electricity deployed in Cyprus and NUS Social Energy deployed in Singapore are presented, together with some observations and initial findings.
Using Request Queues for Enhancing the Performance of Operations in Smart HomesAndreas Kamilaris
This is the presentation for the research paper "Using Request Queues for Enhancing the Performance of Operations in Smart Buildings". It has been presented during the 7th ACM International Workshop on Performance Monitoring, Measurement and Evaluation of Heterogeneous Wireless and Wired Networks (PM2HW2N), in Proc. of MSWiM 2012, in Paphos, Cyprus, October 2012.
Its abstract is as follows: Modern houses and buildings are being equipped with embedded wireless sensors and actuators, offering advanced automation possibilities. Embedded technology is becoming mature, forming an enticing option for real-life deployments. Still, embedded wireless computing does not constitute a guaranteed reliable solution since transmission failures occur in the wireless medium while resource-constrained devices have battery limitations and frequent failures. In this
paper, we examine the use of request queues as a mechanism to manage the communication with embedded devices. Located in a middleware application framework for smart homes, request queues offer enhanced reliability and fault tolerance, supporting multiple tenants simultaneously.
Developing Distributed High-performance Computing Capabilities of an Open Sci...Globus
COVID-19 had an unprecedented impact on scientific collaboration. The pandemic and its broad response from the scientific community has forged new relationships among public health practitioners, mathematical modelers, and scientific computing specialists, while revealing critical gaps in exploiting advanced computing systems to support urgent decision making. Informed by our team’s work in applying high-performance computing in support of public health decision makers during the COVID-19 pandemic, we present how Globus technologies are enabling the development of an open science platform for robust epidemic analysis, with the goal of collaborative, secure, distributed, on-demand, and fast time-to-solution analyses to support public health.
How Does XfilesPro Ensure Security While Sharing Documents in Salesforce?XfilesPro
Worried about document security while sharing them in Salesforce? Fret no more! Here are the top-notch security standards XfilesPro upholds to ensure strong security for your Salesforce documents while sharing with internal or external people.
To learn more, read the blog: https://www.xfilespro.com/how-does-xfilespro-make-document-sharing-secure-and-seamless-in-salesforce/
Gamify Your Mind; The Secret Sauce to Delivering Success, Continuously Improv...Shahin Sheidaei
Games are powerful teaching tools, fostering hands-on engagement and fun. But they require careful consideration to succeed. Join me to explore factors in running and selecting games, ensuring they serve as effective teaching tools. Learn to maintain focus on learning objectives while playing, and how to measure the ROI of gaming in education. Discover strategies for pitching gaming to leadership. This session offers insights, tips, and examples for coaches, team leads, and enterprise leaders seeking to teach from simple to complex concepts.
Prosigns: Transforming Business with Tailored Technology SolutionsProsigns
Unlocking Business Potential: Tailored Technology Solutions by Prosigns
Discover how Prosigns, a leading technology solutions provider, partners with businesses to drive innovation and success. Our presentation showcases our comprehensive range of services, including custom software development, web and mobile app development, AI & ML solutions, blockchain integration, DevOps services, and Microsoft Dynamics 365 support.
Custom Software Development: Prosigns specializes in creating bespoke software solutions that cater to your unique business needs. Our team of experts works closely with you to understand your requirements and deliver tailor-made software that enhances efficiency and drives growth.
Web and Mobile App Development: From responsive websites to intuitive mobile applications, Prosigns develops cutting-edge solutions that engage users and deliver seamless experiences across devices.
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How to Position Your Globus Data Portal for Success Ten Good PracticesGlobus
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Agri-IoT: A Semantic Framework for Internet of Things-enabled Smart Farming Applications
1. Agri-IoT: A semantic framework for IoT-
enabled Smart Farming Applications
^ Unit for Reasoning, Querying and
Stream Processing
Insight Centre for Data Analytics,
National University of Ireland,
Galway
Andreas Kamilaris*, Feng Gao^, Francesc X. Prenafeta-Boldu* ́, Ali Intizar^
World Forum IoT, Reston, VA, USA- December 12-14, 2016
* GIRO Joint Research Unit
IRTA-UPC
Barcelona, Spain
2. Nowadays Sensors are almost Everywhere
14/12/2016
• Cheap and Light-weight
Sensors
• Easy Installation
• Sensors embedded into
different devices
• Varying from a smart phone
to heavy machinery.
2
Images Source: google.com
IoT-Forum 2016, Reston, VA
3. Sensors for Smart Farming
14/12/2016
• In smart farming, mostly
environmental sensors are
deployed
• Weather, Wind Speed, Soil
Moisture Level, Temperature
etc.
• Animal Health Monitoring
• Biodegradeable Sensors
3IoT-Forum 2016, Reston, VA
4. Data Streams are Everywhere
14/12/2016
• Sensors produce
enormous amount of data
• Mostly in a streaming
fashion
• High velocity
• Data needs to be
harnessed and analysed
effectively
4IoT-Forum 2016, Reston, VA
7. Smart Farming IoT Data Analytic Platforms
14/12/2016 7
• Different IoT Platforms
for Smart Farming have
been proposed
• Mostly commercial
products
• Support to collect and
store data in the cloud
• Visualization and
Dashboards for analytics
IoT-Forum 2016, Reston, VA
8. IoT Platforms for Smart Farming: An Eco-System
14/12/2016 8IoT-Forum 2016, Reston, VA
9. Key Data Challenges
• High variability of data in the agri-food domain
• Data combination and information fusion is a taunting task
• Variable Observation Rates
• Un-Predictability
• Platforms Heterogeneity
• Silos Architectures
• Description of data is very poor – lack of semantics.
• High volumes of data – low availability of big data real-time
analytics tools.
14/12/2016 9IoT-Forum 2016, Reston, VA
10. Potential Achievements using Agri-IoT Platforms
• Precision agriculture:
• Improves productivity
• Reduce resource consumption
• Environmental impact
• Real-time Data Analytics
• On-demand data integration
• Real-time event detection systems
• Alert and notification generation
• Predictive Analytics
• Data analytics techniques to predict events
• Provide support for pattern analysis
14/12/2016 10IoT-Forum 2016, Reston, VA
11. Agri-IoT: Real-time Data Analytics Platform
14/12/2016 11
• Integration of heterogeneous IoT data streams
• Provision of data processing pipeline for real-time data
analytics
• Support for innovative smart farming applications
IoT-Forum 2016, Reston, VA
13. Agri-IoT: Software Components
14/12/2016 13
• Flexible Modular
Components
• API based Access
• Plug and play support for
different components
• Semantic based
reasoning and event
detection
• Scalability in a distributed
infrastructure
IoT-Forum 2016, Reston, VA
15. Agri-IoT: Semantic Annotation
14/12/2016 15
• SSN Ontology for Sensor Data Representation
• OWL-S for Service Description
• AgroVoC, Agri Ontology Service and AgOnt
IoT-Forum 2016, Reston, VA
16. Scenario 1: Fertility Management
14/12/2016 16
• Monitoring Breeding
Cycle
• Pre-mating Heat
Detection
• Real-time Monitoring
major milestones
• Prediction for resource
requirements
• Future production
forecasting
IoT-Forum 2016, Reston, VA
17. Scenario 1: Fertility Management
14/12/2016 17
• A single farm of 1,000
cows.
• Periodic heat detection
using wearable sensors
• Automated selection of
cows in the age-range of
18 to 30 months.
• Real-time event detection
and notification systems
IoT-Forum 2016, Reston, VA
18. Scenario 2: Soil Fertility
14/12/2016 18
• Soil Composition
Monitoring
• Soil Index
• Salinity
• Moisture
• Real-time Observation
Monitoring
• Integration with External
Sources e.g. weather,
rainfall etc.
IoT-Forum 2016, Reston, VA
19. Scenario 2: Soil Fertility
14/12/2016 19
• Real-time Alert
Notification System
• Water Management
• Right Time for cultivation
• Fertilization
IoT-Forum 2016, Reston, VA
20. Conclusion
14/12/2016 20
• Agri-IoT offers real-time data analytics for smart farming
applications.
• Deployed a tested in medium-to-large farms (100-300
sensors deployed at the field).
• Tested for performance and scalability for real-time stream
processing and reasoning, based on IoT and semantic web
technologies
• Can help farmers in decision making and fast reactions to
events happening.
• A platform for innovation using Agri Data.
IoT-Forum 2016, Reston, VA