Both climate change and global food demand are expected to become more severe in the upcoming decades. In terms of consistently growing population, the agricultural industry will need to embrace better methods to feed our people with a sufficient and healthy supply of food. The Internet of Things technology (IoT) is a breakthrough technology system that evolved from the convergence of wireless technologies and the Internet. Machine-to-machine (M2M) communication systems will be embedded in an objects’ manufacture and will operate automatically without human-to-computer interaction. This will allow information to be transmitted among wireless devices amongst the machines themselves. With IoT innovation, farmers and growers will be able to boost productivity, strengthen pest control and reduce possible energy waste during cultivation.
PROBLEM:
Smart farming is a new concept in the field of agriculture with its complex mechanisms, fresh-coined terms, usage statistics and analytics, and its implementations differ from country to country. There is a shortage of structured information on this, especially, analytical research on comparison the countries’ past and current performance and future-expected gains on the field.
OBJECTIVES:
This paper’s mission is to familiarize the students with the mechanisms, terms, statistics, analytical research data and to do the comparison of the different scenarios of Smart Farming’s implementation in Germany and Uzbekistan.
APPROACHES:
Introducing interconnected technology fields that smart farming strongly related to:
- Farm Management Information Systems
- Precision Agriculture
- Agricultural automation and robotics
Comparing the current and future expected state of the SMART FARMING technology in Uzbekistan and Germany.
Indian agriculture: Mechanization to DigitizationICRISAT
India is characterized by small farm holdings. More than 80% of the land holdings are less than 2 ha (5 acres). About 55% of India’s population is engaged in Agriculture with 40% farm mechanization. Due to non-remunerative nature of farming, more than 50% farmers in India are in debt. This situation has constrained farmers from investing in mechanization and other technologies.
-> ICRISAT Director General Dr David Bergvinson's presentation at the CII Agri business and Mechanization Summit held in New Delhi, India on 01 Sep 2015.
CANEFIT solution is a unique toolbox driven by
agronomic insights and developed by GAMAYA to address
the specific needs of sugarcane cultivation in Brazil.
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
PROBLEM:
Smart farming is a new concept in the field of agriculture with its complex mechanisms, fresh-coined terms, usage statistics and analytics, and its implementations differ from country to country. There is a shortage of structured information on this, especially, analytical research on comparison the countries’ past and current performance and future-expected gains on the field.
OBJECTIVES:
This paper’s mission is to familiarize the students with the mechanisms, terms, statistics, analytical research data and to do the comparison of the different scenarios of Smart Farming’s implementation in Germany and Uzbekistan.
APPROACHES:
Introducing interconnected technology fields that smart farming strongly related to:
- Farm Management Information Systems
- Precision Agriculture
- Agricultural automation and robotics
Comparing the current and future expected state of the SMART FARMING technology in Uzbekistan and Germany.
Indian agriculture: Mechanization to DigitizationICRISAT
India is characterized by small farm holdings. More than 80% of the land holdings are less than 2 ha (5 acres). About 55% of India’s population is engaged in Agriculture with 40% farm mechanization. Due to non-remunerative nature of farming, more than 50% farmers in India are in debt. This situation has constrained farmers from investing in mechanization and other technologies.
-> ICRISAT Director General Dr David Bergvinson's presentation at the CII Agri business and Mechanization Summit held in New Delhi, India on 01 Sep 2015.
CANEFIT solution is a unique toolbox driven by
agronomic insights and developed by GAMAYA to address
the specific needs of sugarcane cultivation in Brazil.
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
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.
Farmers, growers, and agricultural companies are increasingly adopting digital technologies to transform a traditional industry. In the past, farmers and growers made decisions based on their personal experience, combined with interpreting local conditions.
But digital technologies, from the internet of things to blockchain, are rapidly turning the industry into a high-tech sector. Smart, connected devices can now provide the insight to enable farms to improve every aspect of their operations.
- What is the digital agriculture revolution?
- How digital technologies are transforming the industry – including the impact of the internet of things and blockchain.
- What are the unique challenges that the sector faces in adopting digital technology?
- The future of agriculture
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
Artificial Intelligence In Agriculture & Its Status in IndiaJanhviTripathi
Worldwide, agriculture is a $5 trillion industry, and with the ever increasing population, the world will need to produce 50% more food by 2050 which cannot be accomplished with the percentage of land under cultivation. Factors such as climate change, population growth and food security concerns have propelled the industry into seeking more innovative approaches to protecting and improving crop yield. As a result, Artificial Intelligence is steadily emerging as part of the industry’s technological evolution which help can help farmers get more from the land while using resources more sustainably, yielding healthier crops, control pests, monitor soil, help with workload, etc
*All the media belongs to the respective owners*
Contact me for further queries & discussions...
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
Agriculture may be a major business and therefore the foundation of the economy. In 2016, the calculable worth additional by the agriculture business was calculable at but one percent people GDP. The U.S. Environmental Protection Agency (EPA) estimates that agriculture contributes regarding $ 330 billion annually to the economy.
Digital Agriculture – A key enabler for nutritional security and SDGs by Dr D...ICRISAT
Digital Agriculture - ICT and data ecosystems to support the development and delivery of timely, targeted information and services to make farming profitable and sustainable while delivering safe nutritious and affordable food for ALL.
The presentation is on Digital Agriculture and Its Application in Agriculture. The presentation went through problems of Agriculture, potential ways to cater those problems and how use of technology and their uses sustain the life of agriculture for our future generations with few case studies. I hope this is useful to student community. For PPT mail me at #pavankalyan6898@gmail.com , thank You
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.
Digital Agriculture can be defined as ICT and data ecosystems to support the development and delivery of timely, targeted (localized) information and services to make farming profitable and sustainable (socially, economically and environmentally) while delivering safe, nutritious and affordable food for ALL. Rural connectivity will be a key to providing low cost data and access to information. Digital technology will be key to increasing agriculture productivity by delivering tailored recommendations to farmers based on crop, planting date, variety sown; real time localized observed weather and projected market prices. Mobile phones also enable farmers to integrate into structured markets based on approved grades and standards. The greatest impact of Digital agriculture will have is on democratization of market pricing and compressing transaction costs. Digital agriculture will also leverage social media platforms to build human capacity. One of the best examples originating from India is Digital Green.
A session on "Digitalization of Agriculture" at Entrepreneurship Conclave organized by Shailesh J. Mehta School of Management, Indian Institute of Technology Bombay.
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.
Will SCADA Systems Survive? The Future of Distributed Management SystemsTibbo
What are common features of IIoT and SCADA/HMI and differences between them? And what advantages do Intenet of Things Platforms have over SCADA Systems? Find out answers in the Presentation.
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.
Farmers, growers, and agricultural companies are increasingly adopting digital technologies to transform a traditional industry. In the past, farmers and growers made decisions based on their personal experience, combined with interpreting local conditions.
But digital technologies, from the internet of things to blockchain, are rapidly turning the industry into a high-tech sector. Smart, connected devices can now provide the insight to enable farms to improve every aspect of their operations.
- What is the digital agriculture revolution?
- How digital technologies are transforming the industry – including the impact of the internet of things and blockchain.
- What are the unique challenges that the sector faces in adopting digital technology?
- The future of agriculture
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
Artificial Intelligence In Agriculture & Its Status in IndiaJanhviTripathi
Worldwide, agriculture is a $5 trillion industry, and with the ever increasing population, the world will need to produce 50% more food by 2050 which cannot be accomplished with the percentage of land under cultivation. Factors such as climate change, population growth and food security concerns have propelled the industry into seeking more innovative approaches to protecting and improving crop yield. As a result, Artificial Intelligence is steadily emerging as part of the industry’s technological evolution which help can help farmers get more from the land while using resources more sustainably, yielding healthier crops, control pests, monitor soil, help with workload, etc
*All the media belongs to the respective owners*
Contact me for further queries & discussions...
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
Agriculture may be a major business and therefore the foundation of the economy. In 2016, the calculable worth additional by the agriculture business was calculable at but one percent people GDP. The U.S. Environmental Protection Agency (EPA) estimates that agriculture contributes regarding $ 330 billion annually to the economy.
Digital Agriculture – A key enabler for nutritional security and SDGs by Dr D...ICRISAT
Digital Agriculture - ICT and data ecosystems to support the development and delivery of timely, targeted information and services to make farming profitable and sustainable while delivering safe nutritious and affordable food for ALL.
The presentation is on Digital Agriculture and Its Application in Agriculture. The presentation went through problems of Agriculture, potential ways to cater those problems and how use of technology and their uses sustain the life of agriculture for our future generations with few case studies. I hope this is useful to student community. For PPT mail me at #pavankalyan6898@gmail.com , thank You
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.
Digital Agriculture can be defined as ICT and data ecosystems to support the development and delivery of timely, targeted (localized) information and services to make farming profitable and sustainable (socially, economically and environmentally) while delivering safe, nutritious and affordable food for ALL. Rural connectivity will be a key to providing low cost data and access to information. Digital technology will be key to increasing agriculture productivity by delivering tailored recommendations to farmers based on crop, planting date, variety sown; real time localized observed weather and projected market prices. Mobile phones also enable farmers to integrate into structured markets based on approved grades and standards. The greatest impact of Digital agriculture will have is on democratization of market pricing and compressing transaction costs. Digital agriculture will also leverage social media platforms to build human capacity. One of the best examples originating from India is Digital Green.
A session on "Digitalization of Agriculture" at Entrepreneurship Conclave organized by Shailesh J. Mehta School of Management, Indian Institute of Technology Bombay.
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.
Will SCADA Systems Survive? The Future of Distributed Management SystemsTibbo
What are common features of IIoT and SCADA/HMI and differences between them? And what advantages do Intenet of Things Platforms have over SCADA Systems? Find out answers in the Presentation.
Rainwater management: Next Agricultural Revolution to Support climate change adaptation and livelihoods. By Tilahun Amede, Deborah Bossio, Bharat Sharma. Learning event number 9, Session , Room G. How can rainwater management help support food production and smallholder farmers’ ability to adapt to climate variability and change?
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.
Slides from my talk at 1st International Conference on Semantic Machine Learning and Linked Open Data (SML2OD) for Agriculture and Environmental Informatics
บรรยากาศงานสัมมนา Internet of things Technology Review for SMEs
หัวข้อ การประยุกต์ใช้ Internet of things สำหรับการทำการเกษตร (SmartFarm)
คุณอดุลย์ นันทะแก้ว
Soft Power Group Co., Ltd
http://softpowergroup.net/
An overall perspective of the IoT for Indian Agriculture and to leverage the solutions for building the eco-system for Indian Agriculture. Currently being worked through NASSCOM, Bangalore
Advance Agro Farm Design With Smart Farming, Irrigation and Rain Water Harves...IJOAEM
The paper presents the design of agriculture farm especially for the plane region which can well utilize by the farmer to sort out the scarcity of water for crop growth. The farmers are subjected with the lots of problem in agriculture like improper irrigation, selection of crops, non availability of whether information according to their region, the problem from pest and wild animals. Due to these problems, the suicidal case of farmers gets increase day by day. These problems can be sort out by using IoT. Here we use Arduino Yun having inbuilt Wi-Fi to transfer and analyze data using any IoT platform likes Kaa IoT, Watson IoT, and Cayenne. We can use different IoT communication technology like Z-wave, 6LowPAN, Thread, Sigfox, and Neul to communicate various sensors to the external world according to the application. Here we simulate the design of entire sensor network used in this project using NetSim simulator and emulator software. After emulation of designed network design by taking 50 m as field size, we obtained various graphs which show throughput of each link from sensor node up to the monitoring base station, graphs of various parameter like packet transfer, collided packets, payload and overhead transmitted and battery consumed by each sensor for specified duration. Also, farmers are able to grow a health hazard free crop for the upcoming generation.
The history of agriculture in India dates back to the Rigveda. Today, India ranks second worldwide in farm output. Agriculture and allied sectors like forestry and fisheries accounted for 13.7% of the GDP (gross domestic product) in 2013, about 50% of the workforce. The economic contribution of agriculture to India's GDP is steadily declining with the country's broad-based economic growth. Still, agriculture is demographically the broadest economic sector and plays a significant role in the overall socio-economic fabric of India.India exported $39 billion worth of agricultural products in 2013, making it the seventh largest agricultural exporter worldwide and the sixth largest net exporter.Most of its agriculture exports serve developing and least developed nations.
Presenting a brief of Iot in Agriculture sector. How Iot can be advantageous for Agriculture practices. The presentation included what can be the benefits of Iot in agriculture along their application in different segments of agriculture like greenhouse, irrigation, smart farming etc. Environmental monitoring also plays a major part in agriculture. Implementation of Iot in agriculture also have challanges like high cost of operation, lack of complete access and data privacy related issue. Iot in agriculture have potential to boost productivity with precision of Agricultural operations.
IoT-Based Sustainable Farming: A Momentous Innovation in the Agriculture Sect...UbiBot
IoT Environmental Sensors have become mandatory in today’s world to better the yield of crops. From humidity levels to temperature, these systems can measure everything with accuracy. They rely on cutting edge technologies to deliver the correct information on time. So, all farmers can benefit from such advanced solutions.
IoT Based Smart Horticulture Monitoring Systemijtsrd
For smart horticulture system, one person take care of everything is some difficult due to his busy life style, but the healthy food and financially feasible life time is very important. Now a days the vegetables containing more chemical wastages that affect the human life time. The smart horticulture systems provide the each one to create the food healthy and ensure the quality of the vegetables to create home itself using this horticulture. The normal person can keep the horticulture running and the plants healthy in case the primary person becomes unavailable. The horticulture production needs less labour, less capital, has faster returns than normal production. And it cannot be easily influenced by the climate. Therefore the nurseries are wanted subsequent to next to vegetable under growers. It be extremely easier said than done en route for be alive inside incriminate of scattered horticulture lacking a isolated atmosphere monitor arrangement. In current technology, there appeared a canopy remote monitoring system based on Ethernet. In this system we make use of dissimilar module such since Global System Monitoring, 8051 next to the alike moment as organizer, be on fire detecting antenna, warmth detect feeler, dampness detect feeler, and exhibit the being there of gab resting on 16X2 LCD lying on the receiver surface. If any gas exceeds the value automatically send alert message has to be given to concerned person .whether prediction can be predicted by using machine learning technique so we aware of the whether condition due to climate changes. This project is created as a product and gives the healthy life and small scale level business. Shahin. K | Kanimozhi. R | Balachandar. A ""IoT Based Smart Horticulture Monitoring System"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23466.pdf
Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/23466/iot-based-smart-horticulture-monitoring-system/shahin-k
IoT in Agriculture.Unlike conventional internal combustion engine vehicles th...Bijay Sharma
Unlike conventional internal combustion engine vehicles that rely
on gasoline or diesel fuel, electric vehicles use electricity as their primary source of power. T
IoT in Agriculture. This shows how IoT can helpful in the agricultural sector.Bijay Sharma
bases on Internet of things. This shows how IoT can helpful in the agricultural sector. This shows how advance can the agriculture will be by using IoT.
IoT in Agriculture: Cultivating a Sustainable Future in 2023 and BeyondUtah Tech Labs
With global population set to hit 9 billion by 2050, the need for innovative, sustainable farming practices has never been greater. 🌍👨🌾
As we face the pressing challenges of population growth, climate change, and resource scarcity, technological innovation has become essential.
By harnessing the power of IoT and edge computing, farmers are empowered to make data-driven decisions, optimizing resource use, reducing waste, and increasing crop and livestock yields. Not only does this advance the efficiency and productivity of agriculture, it also contributes to more sustainable and environmentally responsible farming practices. 🌿
🔗 Get to know more about the IoT in Agriculture https://lnkd.in/geFZp3uA
Join us in paving the way for a more sustainable, data-driven future.
#Sustainability #FutureOfFarming #EdgeComputing #DataDriven #Innovation #Technology #ConnectedFarming #UtahTechLabs
The Internet of Things (IoT) in agriculture revolutionizes traditional farming practices by integrating smart technologies. Through sensor networks, data analytics, and connectivity, IoT empowers farmers with real-time insights into crop conditions, soil health, and equipment performance. This transformative approach enhances efficiency, resource utilization, and sustainability in agricultural processes, marking a significant leap toward precision farming.
Here we tried to focus briefly on IoT in agriculture topic. Hope it will help you.
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.
The world is entering a period of economic uncertainty and the impact on global
economic growth is ambiguous. In contrast, these uncertainties are balancing on
emerging markets’ growth prospects particularly in India. Agriculture has always
been associated with the production of basic food crops. Agriculture and farming
were synonymous so long as farming was not commercialised. But as the process of
economic development accelerated, many other occupations allied to farming came to
be recognised as part of agriculture. Agriculture is the primary source of livelihood
for about 60% of India’s population (Situation Assessment Survey of Agricultural
Households, conducted by the National Sample Survey Office). The farming industry
will become arguably more important than ever before in the next few decades.
According to the UN Food and Agriculture Organization, the world will need to
produce 70% more food in 2050 than it did in 2006 to feed the growing population of
the earth (United Nations Food and Agriculture Organisation, 2012).To meet the
growing demand, farmers and agricultural companies are embracing technology for
analytics and greater production capabilities. In rural India, agriculture being one of
the largest sources of livelihood is exposed to periodic droughts and floods, and
farmers lack market access, marketing networks, and information systems. This paper
conceptualizes smart farming effectiveness and the main lessons that emanate from
this paper are that Internet of Things (IoT), combined with big data, provides farmers
with a wealth of information that they can use to maximize productivity in the
vulnerable environment and maintain the quality of food in the supply chain.
The world is entering a period of economic uncertainty and the impact on global
economic growth is ambiguous. In contrast, these uncertainties are balancing on
emerging markets’ growth prospects particularly in India. Agriculture has always
been associated with the production of basic food crops. Agriculture and farming
were synonymous so long as farming was not commercialised. But as the process of
economic development accelerated, many other occupations allied to farming came to
be recognised as part of agriculture. Agriculture is the primary source of livelihood
for about 60% of India’s population (Situation Assessment Survey of Agricultural
Households, conducted by the National Sample Survey Office). The farming industry
will become arguably more important than ever before in the next few decades.
According to the UN Food and Agriculture Organization, the world will need to
produce 70% more food in 2050 than it did in 2006 to feed the growing population of
the earth (United Nations Food and Agriculture Organisation, 2012).To meet the
growing demand, farmers and agricultural companies are embracing technology for
analytics and greater production capabilities. In rural India, agriculture being one of
the largest sources of livelihood is exposed to periodic droughts and floods, and
farmers lack market access, marketing networks, and information systems. This paper
conceptualizes smart farming effectiveness and the main lessons that emanate from
this paper are that Internet of Things (IoT), combined with big data, provides farmers
with a wealth of information that they can use to maximize productivity in the
vulnerable environment and maintain the quality of food in the supply chain.
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
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
3. • Changes in the
intensity of
precipitation
• Temperature
increases of more
than 4 degrees will
negatively effect
the ecosystem
• FAO estimates
that agricultural
production will
have to increase
60% by then
United Nations said that heat and water cycles will be less
predictable and there are likely to be 9.6 billion people on
the planet by 2050.
Comments
5. The Internet of Things
2
IoT is a breakthrough technology system that evolves
from the convergence of wireless technologies and the
Internet.
6. • Machine-to-machine (M2M) communication systems will be
embedded in an objects’ manufacture and will operate
automatically without human-to-computer interaction.
Definition
The Internet of Things allows information to be transmitted
among wireless devices amongst the machines themselves.
7. Apply IoT innovation in Agriculture
3
The Internet of Things will play an important role in
agricultural industries.
8. • Observe everyday operations automatically,
avoiding environmental factors that affect yields
in farming
• Reduce possible energy waste and analyze
energy usage in real-time
• Strengthen pest control and improve pesticide
use during cultivation
What will IoT innovation help farmers do?
9. Boost productivity
• Wireless, cloud-connected
systems can monitor location,
temperature, wetness and so
on.
• Seasonal agriculture operation data
will help farmers properly prepare the
soil as well as plant and harvest at the
best time. This helps avoid
environmental factors that affect
yields in farming and helps elevate
productivity per acre of land.
10. • Smart irrigation
systems help
farmers acquire
precise information
on water costs per
acre.
• Embedded wireless
devices and soil
monitoring systems
help farmers
measure moisture,
detect leaks and
manage energy
usage all in real-time.
• Integrate these small
will help farmers
efficiently find
reoccurring problems
during cultivation,
minimizing possible
wastes and expenses.
Reduce possible energy waste
11. Strengthen pest control
• In light of the organic
farming trend across
the world, agricultural
industries have taken
interest in finding
effective and relatively
inexpensive alternatives
to pesticides.
• Pheromones paired with
IoT technology will have
a better impact on pest
control. Wireless sensor
networks will help
detect high pest
population and activate
pheromone delivery
systems automatically.
• This will effectively
disrupt mating
patterns in pests,
minimizing, and even
replacing, pesticide
use.
12. With IoT innovation, farmers will be able to
boost productivity, strengthen pest control and
reduce possible energy waste during cultivation.
13. The Internet of Things will be the key catalyst
in transforming traditional farming to the smart
farming vision of the future.
14. Participant of GIS Taiwan 2015
U++ competition. Apply now
and influence the world:
http://gis-taiwan.ntu.edu.tw/
Thank you