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.
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...
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...
How artificial intelligence revolutionising agriculture industry in 2021 li...kalyanit6
Great Artificial Intelligence can diversify your company in a competitive market. As the world becomes increasingly digital, investing in an AI developer can help your business stand out from the rest.
AI bots in the agriculture field can harvest crops at a higher volume and faster pace than human laborers. By leveraging computer vision helps to monitor the weed and spray them. Thus, Artificial Intelligence is helping farmers find more efficient ways to protect their crops from weeds.
Artificial Intelligence is an approach to make a computer, a robot, or a product to think about how smart humans think. AI is a study of how the human brain thinks, learns, decides and work when it tries to solve problems. And finally, this study outputs intelligent software systems. The aim of AI is to improve computer functions that are related to human knowledge, for example, reasoning, learning, and problem-solving.
Artificial intelligence : Basics and application in AgricultureAditi Chourasia
Agriculture is the mainstay of Indian economy as about 60% of our population depends directly or indirectly on agriculture.Exploration of technology in digital world gave birth to a whole new field of making intelligent machines i.e. Artificial intelligence (AI). AI is making a huge impact in all domains of the industry. Every industry looking to automate certain jobs through the use of intelligent machinery. 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, AI is steadily emerging as part of the Agricultural industry’s technological evolution. The automation in agriculture is the main concern and the emerging subject across the world. AI in agriculture not only helping farmers to automate their farming but also shifts to precise cultivation for higher crop yield and better quality while using fewer resources.Technological advancement in the future will provide more useful applications to the sector helping the world deal with various farming challenges used to be faced in traditional agricultural practices.
Artificial Intelligence is one of the emerging technologies in the field of agriculture which tries to simulate human reasoning in intelligent systems. It is making a revolution in agriculture by replacing inefficient traditional methods with more efficient AI based methods. AI is used in agriculture in various ways such as automation, robots, drones, soil and crop monitoring, and predictive analytics. This paper provides various applications of AI tools in agriculture. Matthew N. O. Sadiku | Sarhan M. Musa | Abayomi Ajayi-Majebi "Artificial Intelligence in Agriculture" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-2 , February 2021, URL: https://www.ijtsrd.com/papers/ijtsrd38513.pdf Paper Url: https://www.ijtsrd.com/engineering/electrical-engineering/38513/artificial-intelligence-in-agriculture/matthew-n-o-sadiku
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
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.
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
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.
How artificial intelligence revolutionising agriculture industry in 2021 li...kalyanit6
Great Artificial Intelligence can diversify your company in a competitive market. As the world becomes increasingly digital, investing in an AI developer can help your business stand out from the rest.
AI bots in the agriculture field can harvest crops at a higher volume and faster pace than human laborers. By leveraging computer vision helps to monitor the weed and spray them. Thus, Artificial Intelligence is helping farmers find more efficient ways to protect their crops from weeds.
Artificial Intelligence is an approach to make a computer, a robot, or a product to think about how smart humans think. AI is a study of how the human brain thinks, learns, decides and work when it tries to solve problems. And finally, this study outputs intelligent software systems. The aim of AI is to improve computer functions that are related to human knowledge, for example, reasoning, learning, and problem-solving.
Artificial intelligence : Basics and application in AgricultureAditi Chourasia
Agriculture is the mainstay of Indian economy as about 60% of our population depends directly or indirectly on agriculture.Exploration of technology in digital world gave birth to a whole new field of making intelligent machines i.e. Artificial intelligence (AI). AI is making a huge impact in all domains of the industry. Every industry looking to automate certain jobs through the use of intelligent machinery. 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, AI is steadily emerging as part of the Agricultural industry’s technological evolution. The automation in agriculture is the main concern and the emerging subject across the world. AI in agriculture not only helping farmers to automate their farming but also shifts to precise cultivation for higher crop yield and better quality while using fewer resources.Technological advancement in the future will provide more useful applications to the sector helping the world deal with various farming challenges used to be faced in traditional agricultural practices.
Artificial Intelligence is one of the emerging technologies in the field of agriculture which tries to simulate human reasoning in intelligent systems. It is making a revolution in agriculture by replacing inefficient traditional methods with more efficient AI based methods. AI is used in agriculture in various ways such as automation, robots, drones, soil and crop monitoring, and predictive analytics. This paper provides various applications of AI tools in agriculture. Matthew N. O. Sadiku | Sarhan M. Musa | Abayomi Ajayi-Majebi "Artificial Intelligence in Agriculture" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-2 , February 2021, URL: https://www.ijtsrd.com/papers/ijtsrd38513.pdf Paper Url: https://www.ijtsrd.com/engineering/electrical-engineering/38513/artificial-intelligence-in-agriculture/matthew-n-o-sadiku
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
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.
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
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.
Agriculture technology trends 2021: Collaborating tech with agricultureKaty Slemon
Explore how AI/ML, IoT, Blockchain, Automation, & GIS are disrupting Agriculture technology trends & why you should tread towards expanding your Agro business.
Modern farming has gone through a massive upgrade due to the evolution of the latest technologies. The tech innovations have given a complete overhaul to the agriculture industry.
This post highlights the most recent innovation in Agriculture that are likely to dominate in the future.
Read here for more details!
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.
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.
The Artificial Intelligence (AI) In Agriculture market delves into the possible growth opportunities for the global Artificial Intelligence (AI) In Agriculture market and the chronological growth of the market throughout the forecast period.
Agriculture engineering & industry revolution 4.01396Surjeet
Agricultural History and industry revolution 1,2,3 and 4 and what is emerging technology. Career Scope after B.Tech Agriculture Engineering.
so many other technology.
Today, majority of the farmers are dependent on agriculture for their survival. But
majority of the agricultural tools and practices are outdated and it yields less crop
products, because everything is depends on environment and Government support. The
world population is becoming more comparatively cultivation land and crop yield. It is
essential for the world to increase the yielding of the crop by adopting information
technology and communication plays a vital role in smart farming. The objective of this
research paper to present tools and best practices for understanding the role of
information and communication technologies in agriculture sector, motivate and make
the illiterate farmers to understand the best insights given by the big data analytics using
machine learning
Artificial Intelligence (AI) is doing a very good job and continues to provide many benefits to our modern world, but with good, inevitably negative consequences. The sooner we start to think about what they are, the better prepared we can be to reduce and manage the risks.
5 g driving the evolution of ai venkat vajradhar - mediumvenkatvajradhar1
The future of the 5G edge. 5G is an important part of the evolution of cloud-computing ecosystems towards more distributed environments, even though it is still many years away from widespread expansion. Between now and 2025, the networking industry is investing $ 5 trillion globally in 5G, supporting the rapid adoption of mobile, edge, and embedded devices in every sphere of our lives.
Over the past few years, we have seen that the amount of user data is being compromised. As the Internet of Things (IoT) and widespread Internet usage have caught on, cybercrime has grown rapidly. This not only compromises consumers but also damages the reputation of companies.
With traditional home security devices, the system can be programmed to trigger a predetermined response based on certain events. For example, if the system is armed, the countdown begins when the door is opened. If you fail to enter the code on the keypad in time, it alerts the police or an offsite security professional to a potential intruder.
How we successfully implemented ai in audit by venkat vajradhar _ dec, 202...venkatvajradhar1
Garbelman Winslow CPAs is evidence that you don’t have to be a large firm to have big aspirations with cutting-edge technology. The Upper Marlboro, Md.-based practice, which has a total of six CPAs and 15 employees, is using artificial intelligence (AI) to identify high-risk transactions as part of its auditing process. Here’s what the firm has done and learned so far, as told by partner Samantha Bowling, CPA, CGMA.
As impressive — or scary — as that might sound, artificial intelligence technologies aim to further revolutionize the way banking is done and the relationships between banks and their customers’ experience.
Machine learning can be a useful tool in detecting Medicare fraud, according to a new study that can recover anywhere from $ 19 billion to $ 65 billion lost in fraud each year.
AI (Artificial Intelligence) is a field of computer science that targets the development of smart machines that act and react like a real person. Part of the activities that systems provide with the AI application include speech recognition, planning, learning, and critical thinking and also a part of #AI SOLUTIONS
Artificial Intelligence Vs Machine Learning Vs Deep Learningvenkatvajradhar1
This technology is no longer a matter of science fiction. Instead, we see artificial intelligence in every part of our lives. Smart assistants are on our phones and speakers, helping us find information and complete everyday tasks. At work, chatbots are affiliated with the Customer Support Team, with estimates that they will be responsible for 85% of customer service by next year.
With traditional home security devices, the system can be programmed to trigger a predetermined response based on certain events. For example, if the system is armed, the countdown begins when the door is opened. If you fail to enter the code on the keypad in time, it alerts the police or an offsite security professional to a potential intruder.
9 powerful examples of artificial intelligence in use today by venkat vajra...venkatvajradhar1
Artificial intelligence is not limited to the IT or technology industry; Instead, it is widely used in other fields such as medicine, business, education, law, and manufacturing.
Future of artificial intelligence in the banking sector (part 1) by venkat ...venkatvajradhar1
Of late, the banking sector is becoming an active adapter of artificial intelligence — exploring and implementing this technology in new ways. The penetration of artificial intelligence in the banking sector had been unnoticed and sluggish until the advent of the era of internet banking.
Another Top 9Key feature in Android 11 which will Redefine Mobile Applicationsvenkatvajradhar1
Revamped Overview Menu, Screen Shot Shortcuts: In Android 11 Developer Preview 3, Google has revamped the Overview menu (recent apps screen) to show two new screenshot shortcuts along with big cards. However, it also removes the authorization to view the App Drawing from the Overview menu.
Another top 5 industries that stand to benefit most from blockchain by venk...venkatvajradhar1
For instance, if all the fashion designers are making the same style of apparel, the competition will be high while the buyers less interested; hence only the original concepts and designs make an impact on the customers’ minds. All the replicas, whether iPhone or Android Apps, are doomed to be classified as failures.
As cyberattacks grow in volume and complexity in recent years, Artificial Intelligence (AI) helps under-resourced security operations analysts stay ahead of threats. From millions of research papers, blogs, and news stories to pressurize intelligence, AI provides instant results to help you fight through the noise of thousands of daily alerts, drastically reducing response time.
The future of the 5G edge. 5G is an important part of the evolution of cloud-computing ecosystems towards more distributed environments, even though it is still many years away from widespread expansion. Between now and 2025, the networking industry is investing $ 5 trillion globally in 5G, supporting the rapid adoption of mobile, edge, and embedded devices in every sphere of our lives.
How Artificial Intelligence Will Change in 2050?venkatvajradhar1
Over the past decade, artificial intelligence has moved from a sci-fi dream to a critical part of our daily lives. We use AI systems to interact with our phones and speakers through voice assistants like Tesla-made Siri, Alexa, and Google Car, Amazon monitors our browsing habits, and then products we think we want. Google also decides what to buy and what results from we want to give us based on our search functionality. Artificially intelligent algorithms are here and they have already changed our lives
9 powerful examples of artificial intelligence in use today by venkat vajra...venkatvajradhar1
Artificial intelligence is not limited to the IT or technology industry;Artificial intelligence is not limited to the IT or technology industry; Instead, it is widely used in other fields such as medicine, business, education, law, and manufacturing.
Instead, it is widely used in other fields such as medicine, business, education, law, and manufacturing.
New expectations for ai. intro by venkat vajradhar _ mediumvenkatvajradhar1
The field of Artificial Intelligence (AI) encompasses a wide variety of technologies, from image recognition to robotics and autonomous vehicles, with potential benefits as well as their risks.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
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
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.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
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.
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.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
AI IN AGRICULTURE
1. ARTIFICIAL INTELLIGENCE IN AGRICULTURE
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. Factors like global climate change, increase and food security
considerations have pushed the business to hunt a lot of innovative approaches to
safeguard and improve crop yields. As a result, AI is bit by bit evolving as a part of
the technology evolution of the business.
In this article we have a tendency to explore the applications of computer science to
know current and rising trends for business leaders, and gift representative samples
of common applications.
Artificial Intelligence within the Agricultural business - Insights Below:
Based on our analysis, the foremost common applications of AI in agriculture make
up 3 main categories:
Agricultural robots: - corporation’s area unit developing autonomous robots
to perform the required agricultural tasks, like harvest crops and fast quicker
than human labour.
Crop and Soil observation: - corporation’s area unit developing laptop
vision and deep learning algorithms to method knowledge compiled by drones
and / or software-based technology to watch crop and soil health.
Predictive Analytics: - Machine learning models area unit being developed
to find out and predict numerous environmental impacts on crop yields like
global climate change.
2. Blue watercourse Technology - Weed management:
The ability to regulate weeds may be a high priority for farmers associate degreed
an in progress challenge as weed killer resistance becomes a lot of common. Today,
over 250 styles of weeds became proof against herbicides. per a quest study
conducted by the Weed Science Society of America on the impact of uncontrolled
weeds on corn and soybean crops, annual losses to farmers area unit calculable at $
forty three billion.
Companies’ area unit exploitation automation and artificial intelligence to assist
farmers realize a lot of economical ways in which to safeguard their crops from
weeds. Blue watercourse Technology has developed a golem known as ocean &
Spray that affects laptop vision to watch and accurately spray weeds on cotton plants.
Exactitude spraying will forestall weed killer resistance. The subsequent short video
shows however the golem works in action.
Crop Analysis with AI Drone Interference:
The presence of drones in agriculture dates back to the 1980s for crop dust in Japan.
The market for drones in agriculture is projected to reach 80 480 million by 2027.
Today, companies are leveraging AI and aviation technology to monitor crop health.
3. Once the drone has completed its route, users can transfer the USB drive from the
drone to the computer and upload the captured data to the cloud drive AI services
uses algorithms to aggregate and analyze captured images and data to provide a
detailed report on the health of the vineyard, particularly the condition of the vine.
Since grapefruit leaves often address grape diseases (such as molds and bacteria),
reading "health" of leaves is often a good proxy for understanding plant health and
their fruits.
Artificial Intelligence in harvesting the crops:
Automation is additionally increasing in an effort to help address the challenges in
the workforce. This trade forecasts a half-dozen decline in farm staff from 2014 to
2024.Harvesting with Artificial Intelligence has developed an automation to help
strawberry farmers determine and pack their crops. Shortage of Workers
Semiconductor diode has been reported to be responsible for countless bucks of
income loss in key agricultural areas such as California and Arizona.
4. In Hillsborough County, the Everglade State area, represented by the "winter
strawberry capital of the country", is usually planted most of the season between ten,
000 and 11,000 acres of strawberry area unit. Harvesting with Artificial Intelligence
says its automation will harvest eight acres in a single day and replace over thirty
human workers.
Pest and weed control:
Yesterday’s farmers were living in fear of windstorm and grasshopper - not
anymore. Farmers are quickly adopting new high-tech ways of protecting plants
from weeds and various pests in the outer space. Another alternative is to grow in
greenhouses, which is also happening, but is being used outside of the most excellent
agricultural technology.
5. We know that artificial intelligence has excelled in image processing - computers
can now "see" the way we look. So by building mobile technologies with AI and
computer vision, farmers can find and eliminate weeds, spraying the entire crop
instead of the blanket. This will keep food clean and it will save enormous money.
This is another example of truly new technologies that have a dramatic impact on
yields and everything else.
Closing terms:
To encounter the problems facing the framers hope that AI SERVICES &
SOLUTIONS should make their mark to uplift the position of FRAMERS