Marco Panizza from Netafim presented the first irrigation system with a brain at the BigDataGrapes workshop "Big Data for the Grapevine Industries" in Pisa, Italy (8/3/2019)
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
Industrial Digitisation / AgTech: Company presentation by Gal Yareden, SVP Corporate Commercial Solutions at Netafim at the NOAH Conference 2019 in Tel Aviv, Hangar 11, 10-11 April 2019.
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
Industrial Digitisation / AgTech: Company presentation by Gal Yareden, SVP Corporate Commercial Solutions at Netafim at the NOAH Conference 2019 in Tel Aviv, Hangar 11, 10-11 April 2019.
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.
ICAR initiatives on Application of Artificial Intelligence and Internet of Th...Sudhir Kumar Soam
The National Academy of Agricultural Research Management, Hyderabad, India conducted several workshops and developed policy brief as part of ICAR initiatives on Application of Artificial Intelligence and Internet of Things in Agriculture
Internet of Things & Its application in Smart AgricultureMohammad Zakriya
As we know Agriculture plays vital role in the development of agricultural country. In India about 70% of population depends upon farming and one third of the nation’s capital comes from farming. Issues concerning agriculture have been always hindering the development of the country. The only solution to this problem is smart agriculture by modernizing the current traditional methods of agriculture. Hence the project aims at making agriculture smart using automation and IoT technologies.
e-Agriculture: Global Community of Practice on use of ICTs for agriculture & ...FAO
e-Agriculture is a global Community of Practice, where people from all over the world exchange information, ideas, and resources related to the use of information and communication technologies (ICT) for sustainable agriculture and rural development.
With over 8,000 members from 160 countries and territories, the e-Agriculture Community is made up of individual stakeholders such as information and communication specialists, researchers, farmers, students, policy makers, business people, development practitioners, and others.
This reduction in supply along with the support by a number of Government schemes, including MGNREGA has led to an escalation in farm wages which is adversely impacting the profitability of the farmer. Rural wages have been growing by 17% on average since 2006-07 outstripping urban wages. At the same time, the increase in wages, without an increase in productivity, is fueling inflation.
scope of artificial intelligence in agricultureSUMESHM13
Scope of artificial intelligence in agriculture - plant disease detection, imaging techniques, applications of drones and robots in agriculture, advantages and disadvantages of artificial intelligence in agriculture
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.
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.
ICAR initiatives on Application of Artificial Intelligence and Internet of Th...Sudhir Kumar Soam
The National Academy of Agricultural Research Management, Hyderabad, India conducted several workshops and developed policy brief as part of ICAR initiatives on Application of Artificial Intelligence and Internet of Things in Agriculture
Internet of Things & Its application in Smart AgricultureMohammad Zakriya
As we know Agriculture plays vital role in the development of agricultural country. In India about 70% of population depends upon farming and one third of the nation’s capital comes from farming. Issues concerning agriculture have been always hindering the development of the country. The only solution to this problem is smart agriculture by modernizing the current traditional methods of agriculture. Hence the project aims at making agriculture smart using automation and IoT technologies.
e-Agriculture: Global Community of Practice on use of ICTs for agriculture & ...FAO
e-Agriculture is a global Community of Practice, where people from all over the world exchange information, ideas, and resources related to the use of information and communication technologies (ICT) for sustainable agriculture and rural development.
With over 8,000 members from 160 countries and territories, the e-Agriculture Community is made up of individual stakeholders such as information and communication specialists, researchers, farmers, students, policy makers, business people, development practitioners, and others.
This reduction in supply along with the support by a number of Government schemes, including MGNREGA has led to an escalation in farm wages which is adversely impacting the profitability of the farmer. Rural wages have been growing by 17% on average since 2006-07 outstripping urban wages. At the same time, the increase in wages, without an increase in productivity, is fueling inflation.
scope of artificial intelligence in agricultureSUMESHM13
Scope of artificial intelligence in agriculture - plant disease detection, imaging techniques, applications of drones and robots in agriculture, advantages and disadvantages of artificial intelligence in agriculture
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.
Ecolab executive vice president and president of NALCO Water presents "Internet of Things: Hype vs. Reality. How to Turn Data into Actionable Insights that Deliver Value." at the 2016 Consumer Goods Forum Global Summit.
Until now Agriculture and Food Had to choose between Big IT that knew little to nothing about their sector OR Tiny IT that got the problem but couldn't deliver solid technology. Luxoft does both.
New technologies such as the Internet of Things and Cloud Computing are expected to leverage the current
trend of Smart Farming, introducing more sensors, robots and artificial intelligence, encompassed by the
phenomenon of Big Data.
This presentation will give a quick insight into the state-of-the-art of Big Data applications in Smart Farming
and identify the related challenges that have to be addressed. It shows that the scope of Big Data
applications in Smart Farming goes beyond the farm; it is influencing the entire food supply chain. Big data
are being used to provide predictive insights in farming operations, drive real-time operational decisions, and
redesign business processes for game-changing business models.
It is expected that Big Data will cause major shifts in roles and power relations among different players in
current food supply chain networks. The landscape of stakeholders exhibits an interesting game between
powerful tech companies, venture capitalists and often small startups and new entrants. At the same time
there are several public institutions that publish open data, under the condition that the privacy of persons
must be guaranteed. The future of Smart Farming may unravel in a continuum of two extreme scenarios: 1)
closed, proprietary systems or 2) open, collaborative systems.
The development of data and application infrastructures (platforms and standards) and their institutional
embedment will play a crucial role in the battle between these scenarios. A major challenge is therefore to
cope with governance issues and define suitable business models for data sharing in different supply chain
scenarios.
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/
Fostering Business and Software Ecosystems for large-scale Uptake of IoT in F...Sjaak Wolfert
The Internet of Things (IoT) is expected to be a real game changer that will drastically improve productivity and sustainability in food and farming. However, current IoT applications in this domain are still fragmentary and mainly used by a small group of early adopters. The Internet of Food and Farm 2020 Large-Scale Pilot (IoF2020) addresses the organizational and technological challenges to overcome this situation by fostering a large-scale uptake of IoT in the European food and farming domain. The heart of the project is formed by a balanced set of multi-actor trials that reflect the diversity of the food and farming domain. Each trial is composed of well-delineated use cases developing IoT solutions for the most relevant challenges of the concerned subsector. The project conducts 5 trials with a total of 19 use cases in arable, dairy, fruits, vegetables and meat production. IoF2020 embraces a lean multi-actor approach that combines the development of Minimal Viable Products (MVPs) in short iterations with the active involvement of various stakeholders. The architectural approach supports interoperability of multiple use case systems and reuse of IoT components across them. Use cases are also supported in developing business and solving governance issues. The IoF2020 ecosystem and collaboration space is established to boost the uptake of IoT in Food and Farming and pave the way for new innovations.
Top 15 AgTech Startups to Watch in 2020Ana Martinez
Global food production must increase by 70% by 2050 in order to prevent massive famine. These are the 15 AgTech startups that are helping to tackle some of the biggest challenges in the agriculture industry.
How to Create an Agriculture App for a FarmDev Technosys
Are you looking to create an Agriculture App for a Farm? Check here all the basic information: https://devtechnosys.ae/agriculture-software-development
IoF - Internet of Farms - How the digital revolution is changing the agricult...Product of Things
These are the slides from Izhar Gilad's workshop at Product of Things Conference in Tel Aviv on July 2018:
Who this workshop is for:
This workshop is for those who wish to understand how to sell ‘new’ products to an ‘old’ world by looking at how ‘traditional’ agriculture and other domains (IoT, Cars, and others) are changing, and what are the new opportunities emerging in the field
After this workshop you will be able to:
- Recognize opportunities in ‘traditional’ industries
- Understand the challenges of presenting innovative products to ‘traditional’ domains
- Foresee the challenges of launching a product in a conservative market
What is covered:
- Getting to know the threats and opportunities in IoF
- Catching up on the latest market dynamics and trends
- Learning the best practices and extensive GTM knowhow, in cracking the way for a successful product launch
In this workshop, Izhar will share his unique perspective on the challenges of introducing new technologies into the ‘traditional’ field of agriculture, that only someone that grew and breathed ‘traditional’ agriculture his entire life has.
Contains information about use of different ICT tools in Indian agriculture. Also contains information about challenges in application of ICT in Agriculture sector and way forward to resolve the issues
key note on Big Data in Horticulture, for Vineland Research and Innovation, November, Ontario Canada. (overlaps considerably with the earlier presentation for USDA NIFA in Chicago)
Pacific Regional Policy Setting Workshop:
Improved Linkages Between Agriculture, Trade and Tourism: Strengthening the Local Agrifood Sector and Promoting Healthy Food in Agritourism.
Workshop organised by the Technical Centre of Agriculture and Rural Cooperation(CTA), IFAD, PIPSO, SPTO and The Pacific Community.
1st and 2nd April, 2019, Nadi, Fiji
The 10 most innovative ag tech companies of 2021(5) compressedMerry D'souza
As an agtech entrepreneur, you have an opportunity and a responsibility to shape how your company practices social as well as environmental sustainability. Addressing these areas is also important if you want to achieve lasting success
Similar to NetBeat: The first irrigation system with a brain (20)
Prediction algorithms for food data analytics and intelligence: towards a bi...Big Data Grapes
Beyond typical research experimentation scenarios, there is a need for companies that wish to enhance their online data and analytics solutions to incorporate ways in which they can select, experiment, benchmark, parameterize and choose the version of a machine learning algorithm that seems to be most appropriate for their specific application context. BigDataGrapes was present at ISESS 2020 - 13th International Symposium on Environmental Software Systems held in Wageningen, NL. showcasing the capabilities of the project's big data experimentation platform
Coraline Damasio presentation on the Wine Making Pilot progress at the BigDataGrapes workshop "Big Data for the Grapevine Industries" in Pisa, Italy (8/3/2019).
Simone Parisi and Florian Schlenz presentation on the Farm Management Pilot progress at the BigDataGrapes workshop "Big Data for the Grapevine Industries" in Pisa, Italy (8/3/2019)
GeoSpatial Aided Applications: farmer usage and administration data control, ...Big Data Grapes
Fulvio Giorgi and Paolo Martini presentation on the geospatial aided applications at the BigDataGrapes workshop "Big Data for the Grapevine Industries" in Pisa, Italy (8/3/2019)
Eleni Foufa presentation on the Natural Cosmetics Pilot progress at the BigDataGrapes workshop "Big Data for the Grapevine Industries" in Pisa, Italy (8/3/2019)
Aikaterini Kassimati presentation on the Table and Wine Grapes Pilot progress at the BigDataGrapes workshop "Big Data for the Grapevine Industries" in Pisa, Italy (8/3/2019)
The BigDataGrapes vision enabling global disruption of the grapevine-powered ...Big Data Grapes
Panagiotis Zervas presentation on the vision of the project at the BigDataGrapes workshop "Big Data for the Grapevine Industries" in Pisa, Italy (8/3/2019)
Big Data Grapes, as part of the European Big Data Value community was on the 16th of May in Sofia, Bulgaria, in an event organised by the Big Data Value PPP, with the twofold objective of strengthening collaborations among community members and increasing the visibility and awareness about the PPP in East Europe in general and Bulgaria in particular. Ontotext, our Bulgarian project partner presented the potential of Big Data Streams in grape and wine production.
#bdvmeetupsofia18
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
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/
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.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
2. 2
By farmers, for
farmers.
We’re farmers first and innovators second
We began over 50 years ago in Kibbutz
Hatzerim – a community in Israel’s
Negev desert
The struggle to grow crops in the dry,
sandy soil inspired us to think differently
And to find a new way to grow
So we pioneered drip irrigation
A solution that made us the largest
irrigation company in the world
we are today.
3. Helping the world grow more.
3
> 1Billion $
sales
17manufacturing plants
employees
~5,000
irrigation
company1#~30%
market share
110+countries
29subsidiaries HQ in Israel
6. 6
SENSING &
MONITORING
NetBeat™ is the only irrigation
and fertigation management &
control system that combines:
ALL IN ONE CLOSED-LOOP PLATFORM
ANALYSIS &
DECISION
SUPPORT
AUTOMATION &
CONTROL
7. 7
4 years of development
Israeli cutting-edge technology
in the service of agriculture
40+ engineers from Israel’s leading tech companies
100,000+ hours of software & hardware development
9. 9
1. All in one
NetBeat™ is the first irrigation
and fertigation management
system to integrate real-time
monitoring, smart analysis,
and control - in one closed-
loop, mobile platform
10. 2. Dynamic Crop ModelsTM
NetBeat™ integrates Dynamic
Crop ModelsTM that follow
your crop stages and give
irrigation and fertigation
recommendations specific to
your field
10
11. 3. Farmer-centric Interface
NetBeat™ interface was
developed with real farmers in
mind. It is designed to be
simple, friendly and cover all
bases
11
13. 5. Smart irrigation for
everyone
From the most advanced
corporate farms to small
holders, NetBeat™ has a
solution to fit the needs, budget
and skills of all farmers. It is
also modular so you can
upgrade as you grow
13
14. 6. Professionalism
behind the brain
Unlike many other Ag-tech
trends, NetBeat™ is not a
startup or gadget. It’s the
result of the best
professionals building the
best irrigation and
fertigation management
system
14
18. NetBeat™ has a specific
Dynamic Crop ModelsTM for
Grapevine that support grower
with irrigation, fertigation and
treatment recommendation
Focus:
Dynamic Crop ModelsTM
Grapevine
18
19. Focus:
Dynamic Crop ModelsTM - Grapevine
ITALY
FRANCE
USA Intelligent system that
becomes expert learning
from different experience
around the world.
So it is able to give
recommendation more
precisely.
20. 20
More yields
Optimize
agricultural
results, yield and
quality
What does NetBeat™ enable growers to do?
Less inputs Reduced risk Efficient management
Reduce input usage
by precisely
managing water &
nutrients and
lowering labor costs
Weather forecast,
sensors and
external sources
ensure you take
the right decisions
Reduce operational
complexity by allowing
simple irrigation and
fertigation
management from a
mobile device
21. Conclusion
Netbeat is real exemple:
• IoT & Artificial intelligence
• Big Data in agriculture can support the
farmer in their daily work and make it
easier
• Big Data is profitable
• Big data can help to Grow more with Less
Goodmorning everybody.
I m Marco Panizza and I work as Agronomist in Netafim Italia
Netafim is the company that over 50 years ago introduced thanks a group of Israeli Farmer the drip irrigation inside the global market of irrigation. Today as 50 years ago Netafim maintain the same pioneering approach and invest every year to develop new irrigation solution
Today Netafim is the first irrigation company with more than 5000 employees it’s present in more than 110 countries.
As leader irrigation company, already 10 years ago Netafim understood that irrigation need something new.
So Here I am to introduce Netbeat, defined the first irrigation system with a brain
Netbeat is the only irrigation, fertigation management & control system that combined in a unique platform
Monitoring – Analysis- Control. Netbeat is an example of Articial intelligence able to take information, make a decision, and act.
Explain:
NetBeat™ is the next big revolution in agriculture – It is the world’s first automated precision irrigation system
NetBeat™ combines real-time data with Dynamic Crop Models™ to personalize irrigation programs and optimize yields, while minimizing water and resource use
NetBeat™ enabling irrigation, fertigation and crop protection optimized & automated, real time data analysis and irrigation recommendation.
Easily monitor, analyze and automate irrigation operations anywhere anytime.
Explain:
NetBeat™ is the next big revolution in agriculture – It is the world’s first automated precision irrigation system
NetBeat™ combines real-time data with Dynamic Crop Models™ to personalize irrigation programs and optimize yields, while minimizing water and resource use
NetBeat™ enabling irrigation, fertigation and crop protection optimized & automated, real time data analysis and irrigation recommendation.
Easily monitor, analyze and automate irrigation operations anywhere anytime.