The document outlines the timeline of agricultural development from the Neolithic Revolution to the potential of farming on Mars. It describes how agriculture has evolved from early sedentary farming and domestication 10,000 years ago, to subsequent revolutions brought by improved crop rotations, mechanization, biotechnology, and now smart farming technologies using IoT. The rise of IoT solutions such as wireless sensors, base stations, and monitoring software is allowing real-time data collection and analysis to optimize farming processes, reduce costs, and save time previously spent on manual data collection.
From Neolithic revolution to farming on Mars, the agriculture has experienced multiple stages of technological development throughout the ages. Take a look and find out more about the upcoming smart farming and IoT technology impact on agriculture.
As growing operations expand, the need for technological enhancements becomes more critical. A grower working multiple sites may need the advantages of remote monitoring to track and manage growing conditions effectively. The demands of an expanding operation make precision management especially valuable, as growers juggle their time to make the most efficient use of their resources.
The history of agriculture is the story of how humans transformed wild plants and animals into domesticated ones for their benefit. Agriculture began independently in different parts of the world, and involved a diverse range of species. The development of agriculture about 12,000 years ago changed the way humans lived, as they switched from nomadic hunter-gatherer lifestyles to permanent settlements and farming
Some of the earliest crops that were domesticated include wheat, barley, peas, lentils, chickpeas, and flax in the Levant; rice, soybeans, and azuki beans in China; potatoes, tomatoes, peanuts, and coca in South America; sorghum, millet, yams, and cowpeas in Africa; and teff and coffee in Ethiopia1. Some of the earliest animals that were domesticated include pigs, sheep, cattle, and camels in Mesopotamia and Turkey; llamas, alpacas, and guinea pigs in South America; and sanga cattle in North-East Africa
Agriculture has evolved over time with the development of new technologies, techniques, and practices. Some of the major milestones in agricultural history include the British agricultural revolution in the 18th century, which introduced crop rotation, selective breeding, and mechanization; the Green Revolution in the 20th century, which increased crop yields through the use of synthetic fertilizers, pesticides, irrigation, and high-yielding varieties; and the biotechnology revolution in the 21st century, which introduced genetically modified crops, precision agriculture, and vertical farming
The history of agriculture in India dates back to the Neolithic age, some 9000 years ago, when early cultivation of plants and domestication of crops and animals began in the north-western part of the subcontinent. Wheat, barley, and jujube were some of the first crops that were grown by the ancient farmers
Over time, Indian agriculture diversified and expanded to include rice, millets, pulses, cotton, sugarcane, spices, fruits, vegetables, and livestock. Indian agriculture also developed various techniques and practices such as irrigation, crop rotation, fertilization, pest control, seed selection, and storage. Indian agriculture was influenced by various factors such as geography, climate, culture, religion, trade, and politics13.
Indian agriculture underwent significant changes after independence in 1947. The government introduced various reforms and policies to improve agricultural productivity, such as land reforms, cooperative movements, agricultural research and extension, subsidies, credit facilities, minimum support prices, public distribution system, green revolution, white revolution, blue revolution, and biotechnology revolution. These initiatives helped India achieve food security, self-sufficiency, and export surplus in many agricultural commoditie
From Neolithic revolution to farming on Mars, the agriculture has experienced multiple stages of technological development throughout the ages. Take a look and find out more about the upcoming smart farming and IoT technology impact on agriculture.
As growing operations expand, the need for technological enhancements becomes more critical. A grower working multiple sites may need the advantages of remote monitoring to track and manage growing conditions effectively. The demands of an expanding operation make precision management especially valuable, as growers juggle their time to make the most efficient use of their resources.
The history of agriculture is the story of how humans transformed wild plants and animals into domesticated ones for their benefit. Agriculture began independently in different parts of the world, and involved a diverse range of species. The development of agriculture about 12,000 years ago changed the way humans lived, as they switched from nomadic hunter-gatherer lifestyles to permanent settlements and farming
Some of the earliest crops that were domesticated include wheat, barley, peas, lentils, chickpeas, and flax in the Levant; rice, soybeans, and azuki beans in China; potatoes, tomatoes, peanuts, and coca in South America; sorghum, millet, yams, and cowpeas in Africa; and teff and coffee in Ethiopia1. Some of the earliest animals that were domesticated include pigs, sheep, cattle, and camels in Mesopotamia and Turkey; llamas, alpacas, and guinea pigs in South America; and sanga cattle in North-East Africa
Agriculture has evolved over time with the development of new technologies, techniques, and practices. Some of the major milestones in agricultural history include the British agricultural revolution in the 18th century, which introduced crop rotation, selective breeding, and mechanization; the Green Revolution in the 20th century, which increased crop yields through the use of synthetic fertilizers, pesticides, irrigation, and high-yielding varieties; and the biotechnology revolution in the 21st century, which introduced genetically modified crops, precision agriculture, and vertical farming
The history of agriculture in India dates back to the Neolithic age, some 9000 years ago, when early cultivation of plants and domestication of crops and animals began in the north-western part of the subcontinent. Wheat, barley, and jujube were some of the first crops that were grown by the ancient farmers
Over time, Indian agriculture diversified and expanded to include rice, millets, pulses, cotton, sugarcane, spices, fruits, vegetables, and livestock. Indian agriculture also developed various techniques and practices such as irrigation, crop rotation, fertilization, pest control, seed selection, and storage. Indian agriculture was influenced by various factors such as geography, climate, culture, religion, trade, and politics13.
Indian agriculture underwent significant changes after independence in 1947. The government introduced various reforms and policies to improve agricultural productivity, such as land reforms, cooperative movements, agricultural research and extension, subsidies, credit facilities, minimum support prices, public distribution system, green revolution, white revolution, blue revolution, and biotechnology revolution. These initiatives helped India achieve food security, self-sufficiency, and export surplus in many agricultural commoditie
A session on "Digitalization of Agriculture" at Entrepreneurship Conclave organized by Shailesh J. Mehta School of Management, Indian Institute of Technology Bombay.
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.
This term paper highlights the importance and potential of Organic Farming in context of Indian agriculture. We recommend policies & initiatives in organic farming to successfully address the growing concerns in Indian agriculture sector.
How are drones used for farming? The use of drones in agriculture is the future. Heavy lift drones capable of crop dusting and drones equipped with multispectral sensors will change the way in which farming is done.
Reasonable Supplements to Traditional Farming
Touches on why traditional farming alone will not sustain us in the future and what some solutions are - such as hydroponics, vertical farming, and aquaponics.
Agriculture 4.0- The future of farming technology Dishant James
The World Government Summit recently came out with an agenda to improve agricultural technologies by integrating farming with industry 4.0. The outcome would be a fourth agricultural revolution or Agriculture 4.0
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.
IoT (Internet of Things) in agriculture refers to the use of connected devices and sensors to gather data and automate farming processes. This technology is transforming farming by enabling farmers to monitor soil moisture, crop growth, and livestock health in real-time, optimizing irrigation and fertilizer use, and reducing waste. IoT also allows farmers to make informed decisions based on data-driven insights, leading to increased efficiency, productivity, and profitability. IoT in agriculture has the potentialto revolutionize the way we produce food, making farming more sustainable and resilientin the face of climate change and other challenges.
https://www.mobiloitte.com/internet-of-things/
A session on "Digitalization of Agriculture" at Entrepreneurship Conclave organized by Shailesh J. Mehta School of Management, Indian Institute of Technology Bombay.
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.
This term paper highlights the importance and potential of Organic Farming in context of Indian agriculture. We recommend policies & initiatives in organic farming to successfully address the growing concerns in Indian agriculture sector.
How are drones used for farming? The use of drones in agriculture is the future. Heavy lift drones capable of crop dusting and drones equipped with multispectral sensors will change the way in which farming is done.
Reasonable Supplements to Traditional Farming
Touches on why traditional farming alone will not sustain us in the future and what some solutions are - such as hydroponics, vertical farming, and aquaponics.
Agriculture 4.0- The future of farming technology Dishant James
The World Government Summit recently came out with an agenda to improve agricultural technologies by integrating farming with industry 4.0. The outcome would be a fourth agricultural revolution or Agriculture 4.0
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.
IoT (Internet of Things) in agriculture refers to the use of connected devices and sensors to gather data and automate farming processes. This technology is transforming farming by enabling farmers to monitor soil moisture, crop growth, and livestock health in real-time, optimizing irrigation and fertilizer use, and reducing waste. IoT also allows farmers to make informed decisions based on data-driven insights, leading to increased efficiency, productivity, and profitability. IoT in agriculture has the potentialto revolutionize the way we produce food, making farming more sustainable and resilientin the face of climate change and other challenges.
https://www.mobiloitte.com/internet-of-things/
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
Livestock farm Data Acquisition-Processing and management ..pdfHari Om Pandey
Livestock data acquisition essentially used in Smart Farming where a large amount of connected technologies produces a huge amount of data in order to maximize productions by reducing: human efforts, environment impact and wasting natural resources. It helps in improving livestock production, animals’ welfare, and farming processes, allowing to ease monitoring operations that can help farmers.
Increase in the population brings lots of challanges the major being food production.
Smart farming technologies
Typical agriculture value chain
Future farms
Smart Agriculture System: Maximizing Efficiency in Farming.pptxKhetiBuddy2
Learn how Smart Agriculture Systems are transforming farming in India. With Smart Greenhouses using IoT tech, farmers control conditions for better crop growth. This helps tackle problems from climate change and population growth, making farming more sustainable. Discover how IoT improves yields, cuts waste, and ensures food security for India's future.
Revolutionizing Agriculture: The Role of Industrial Wireless SensorsUbiBot
IoT platforms and wireless humidity sensor are transforming smarter, more efficient, and more sustainable agriculture. Making informed decisions with automation and real-time data can boost production and reduce environmental impact for farmers. Technology will increase the potential of smart agriculture and present farmers with exciting new opportunities.
ROLE OF IOT ,SENSORS AND NANOBIOSENSORS IN AGRICULTURE.pptxarchana reddy
Role of Internet of things, sensors, biosensors in agriculture,types of sensors,Artificial intelligence is the science and engineering of making intelligent machines, especially intelligent computer programs. It is related to the similar task of using computers to understand human intelligence.
Machine learning is a branch of (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.
Deep learning is a subset of ML, which is essentially a neural network with three or more layers, which attempt to simulate the behavior of the human brain—though far from matching its ability—allowing it to “learn” from large amounts of data.
Pradhan Mantri Fasal Bima Yojana (PMFBY)
This is a government-sponsored crop insurance scheme that integrates multiple stakeholders on a single platform. To improve the crop sector, the government will now envisage the use of innovative technologies like AI, remote sensing imageries, and modelling tools to reduce the time lag for settling of claims of the farmers. By analysing the data collected, the scheme aims at increasing the crop insurance penetration in India by increasing farmer awareness and reducing farmer premium rates.
PM-KISAN
By leveraging the benefits of AI, the government of India has rolled out a scheme — PM-KISAN, where every farmer is going to receive Rs. 6000 annually to support their farming abilities. The government is aimed to leverage the huge amount of collected data by several agri-schemes and use the same to better target the farmer who requires the benefit of PM-KISAN.
The data will be used in creating a proper framework for farmers, along with the right policy. It will also help in converging some government projects to achieve the targeted development of farmers and the overall sector.
In a bid to push innovative technologies in agriculture secure, the government of India has also launched another initiative — AGRI-UDAAN – Food & Agribusiness accelerator 2.0 to mentor 40 agricultural startups from cities like Chandigarh, Ahmedabad, Pune, Bengaluru, Kolkata and Hyderabad, and enable them to connect with potential investors. This initiative is a six-month-programme in which shortlisted Agri startups with innovative business models will be mentored and guided to improve their operations, enhance commercialisation, improve product validation and business plan preparation, risk analysis, customer engagement, finance management, and fundraising. These shortlisted startups will also stand a chance of receiving $40,000 as funding assistanceLaunched earlier this year, the project is based out of Maharashtra — seeks to use innovative technologies to address various risks related to cultivation such as poor rains, pest attacks, etc. and to accurately predict crop yielding. The project will also use this data to inform farmers about several policy requirements including pricing, warehousing and crop
IoT Solution in Agriculture industry can transforming your farms to maximize the production. Farmers had been searching for innovative approaches for managing water and other agricultural resources and IoT technology provides the solution. We at Rootfacts offer IoT consulting in agriculture in assisting farms both with traditional and modern agriculture practices and we use IoT technology to enable smart farming and farmers can approach agriculture with better decision.
IoT solution in agriculture will transform your farms to maximize production. Until now, farmers have been looking for innovative approaches to managing water and other agricultural resources, and IoT technology offers the solution. IoT in agriculture is of great importance as it contributes to sustainable environmental practices. The Agricultural IoT solution helps farmers make informed decisions to increase yields, productivity and operational efficiencies, and learn improved resource management techniques that quickly generate minimal waste.
IoT solution in agriculture helps farmers to make well-informed decisions to increase agricultural yields, productivity, and operational efficiency while also learning improved resource management techniques that promptly produce minimal waste. At Rootfacts, we use IoT technology to enable smart farming using which farmers can approach agriculture with better decision capability and increased productivity.
IoT Service in Agriculture enables farmers to make well-knowledgeable choices to increase agricultural yields, productivity, and operational performance even as additionally mastering advanced useful resource control strategies that directly produce minimum waste. At Rootfacts, we use IoT technology to allow smart farming the use of which farmers can technique agriculture with higher choice functionality and expanded productivity.
precision mean â€the quality of being clear or exactâ€. Farmer tries hard to get the result but we need the smart way and result oriented. The history of India's development has been inexorably linked to that of its farmers, and the nation's growth with that of its agronomics. Agronomics provides highest contribution to nation income. Agronomics needed top most priority because the Government and the nation would both fail to succeed if agronomics could not be successful. Today we are living in 21st century where automation is playing significant role in human life. Automation allows us to control appliances automatic control. Today industries are using automation and control machine which is high in cost and not suitable for using in a field. So as to help both government and our farmer, we can use intelligent irrigation techniques with the use of IoT internet of things and by building network of farmer and agriculturist to share their ideas and experience, as a full fledged force solution to the need .this can be easily done by organizing and analysing the live and collected over time data ,allowing farmers to take pre emptive action for healthy harvest of their crops collecting live data using sensors which are placed across the land further sent to the cloud further under taking predictive analytics to enhance crops nutrition thus using predictive analysis on data to find better solution. The IoT connected devices stream live data on the land allowing data informed decisions on planning the resources and harvesting of farm. Kartikeya Bhatia | Devendra Duda ""Precision Farming"" 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/ijtsrd22793.pdf
Paper URL: https://www.ijtsrd.com/engineering/electrical-engineering/22793/precision-farming/kartikeya-bhatia
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
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.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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
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.
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.
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/
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.
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.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
TIMELINE OF AGRICULTURAL DEVELOPMENT
1. 10 000
B.C.
1800s
1960s
2000s
2020s
3000s
TIMELINE OF AGRICULTURAL DEVELOPMENT
NEOLITHIC REVOLUTION
AGRICULTURAL REVOLUTION
MACHINE REVOLUTION
BIOTECH REVOLUTION
IOT AGRICULTURE
FARMING ON MARS
Shift from hunter-gatherer lifestyle
to sedentary farming with plant
and animal domestication.
New patterns of crop rotation and
livestock utilization paved the way for
better crop yields, greater diversity of
vegetables and the ability to support more
livestock.
Farming became mechanized and
commercialized with new inventions
and technology such as tractor, seed
drill and combines.
Advanced technologies such as GEs
and GMOs are used in farming to
increase yields and maximize
outputs from the same amount of
land.
Smart farming technologies are
providing data to enhance decision
making, and if used properly can
help contribute to reduced waste,
increased profits and yield, and
protection of the environment.
By the year 3000 we are sure to
have taken farming to a whole other
level, therefore space carrots and
astronaut-cow milk will surely be
part of our everyday lives!
IoT SOLUTIONS FOR AGRICULTURE
WIRELESS SENSORS
Wireless sensors measure
temperature, relative humidity, CO2
and many other parameters.
The sensors can function up to 10
years without battery replacement.
BASE STATION
Base stations collect data 24/7 and
ensure multiple kilometre receiving
range that allows systems to be
deployed within large areas.
ADVANCED SOFTWARE
Wireless monitoring solutions offer
centralized critical real time data
gathering and the ability to use
software for data viewing, analysis
and comparison any time from any
device.
MAIN BENEFITS
MONITORING 24/7
The real-time data from the wireless
monitoring systems unlocks great
potential for analysis and
information driven solutions and
process optimization.
REDUCED COSTS
Operating costs associated with
monitoring are going down thanks
to wireless sensor technologies that
help exclude human error in
parameter monitoring as well as
offer alert notifications for the most
critical sensor readings.
SAVE TIME
The installation process is easy,
quick and cost effective – no
extensive planning or preparation
needed. Centralized data gathering
saves time previously spent on
manual data collection.
ABOUT US
Aranet offers industrial IoT environmental monitoring solutions for a variety of
businesses, making it easy to collect and analyze real-time data.
Discover all the ways Aranet can help your company take environment monitoring to the
next level!
To learn more about Aranet products and solutions, please visit our website www.aranet.com or
subscribe to our newsletter: https://aranet.com/manage-subscriptions/.
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