New advances in AI, biotech, drone technology, IoT, and satellites have transformed the way food is produced, managed, and distributed. This presentation discusses the technologies, legal hurdles, and investment trends of the growing AgTech industry.
According to the United Nations’ Food and Agriculture Organization, food production must increase by 60% to feed the Earth’s growing population which is expected to hit 9 billion by 2050. Ninety percent of the growth in crop production is expected to come from higher yields on existing farm land requiring farmers to gain additional efficiencies from their land.
The agriculture industry is already highly dependent on technology and is not slow to adopt new hardware and software if it can help improve yields. Current forms of agriculture technology, often referred to as “precision agriculture,” help farmers determine where and what to plant on their land with a level of accuracy that was not possible ten years ago. The next step is to move from precision agriculture to predictive agriculture and “Big Data” will be the main driver of this change.
Thinking about the distant future allows us to go out of the box and to create room for social creativity and empathy. The technology survey, the social developments, the archetypal scenarios and the visions of the future in this study aim to boost the debate on the Dutch agro & food sector, especially in the domains where technological developments may have an impact. Taken together, these instruments form an important inspiration for further study, policy studies, innovation and a public debate.
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.
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
Farmers, growers, and agricultural companies are increasingly adopting digital technologies to transform a traditional industry. In the past, farmers and growers made decisions based on their personal experience, combined with interpreting local conditions.
But digital technologies, from the internet of things to blockchain, are rapidly turning the industry into a high-tech sector. Smart, connected devices can now provide the insight to enable farms to improve every aspect of their operations.
- What is the digital agriculture revolution?
- How digital technologies are transforming the industry – including the impact of the internet of things and blockchain.
- What are the unique challenges that the sector faces in adopting digital technology?
- The future of agriculture
According to the United Nations’ Food and Agriculture Organization, food production must increase by 60% to feed the Earth’s growing population which is expected to hit 9 billion by 2050. Ninety percent of the growth in crop production is expected to come from higher yields on existing farm land requiring farmers to gain additional efficiencies from their land.
The agriculture industry is already highly dependent on technology and is not slow to adopt new hardware and software if it can help improve yields. Current forms of agriculture technology, often referred to as “precision agriculture,” help farmers determine where and what to plant on their land with a level of accuracy that was not possible ten years ago. The next step is to move from precision agriculture to predictive agriculture and “Big Data” will be the main driver of this change.
Thinking about the distant future allows us to go out of the box and to create room for social creativity and empathy. The technology survey, the social developments, the archetypal scenarios and the visions of the future in this study aim to boost the debate on the Dutch agro & food sector, especially in the domains where technological developments may have an impact. Taken together, these instruments form an important inspiration for further study, policy studies, innovation and a public debate.
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.
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
Farmers, growers, and agricultural companies are increasingly adopting digital technologies to transform a traditional industry. In the past, farmers and growers made decisions based on their personal experience, combined with interpreting local conditions.
But digital technologies, from the internet of things to blockchain, are rapidly turning the industry into a high-tech sector. Smart, connected devices can now provide the insight to enable farms to improve every aspect of their operations.
- What is the digital agriculture revolution?
- How digital technologies are transforming the industry – including the impact of the internet of things and blockchain.
- What are the unique challenges that the sector faces in adopting digital technology?
- The future of agriculture
Background concepts of landscape and territory agronomyDavide Rizzo
Agriculture faces big challenges, such as feeding a growing population and providing an increasing panel of ecosystem services. However, concurrent changes either of the land use (e.g., urban sprawl), of the land system structure (e.g., innovative crop-livestock integration) or of the production practices (e.g., the agroecology transition of production systems) occur unevenly in space and over time. Yet, land is a limited resource and agricultural seems to have attained the peak for major productions. Hence, neither the expansion nor the intensification of current production systems could answer the expectations, also because of the deprecated trade-offs on natural resources. Altogether, the development of smarter spatial configurations of agricultural activities appears to be the most effective way to address all of these rapid and wide dynamics. Accordingly, agronomy is urged to develop a landscape perspective to improve the understanding of farming evolutions and to inform future scenarios. In this lecture, we will describe the conceptual model proposed by “landscape agronomy” and how it can help to understand interactions between farming practices, landscape patterns and natural resources. In addition, we will compare it with the “territory” concept underpinning a participatory action science that addresses the relations between different land users and managers in the design of future rural land systems. Finally, we will apply the aforementioned concepts to the comparison of some land management units to stress the role of a landscape-oriented approach to farming system design.
UbiBot’s specializes in providing access to your IoT data wherever and whenever you need. We offer products @ IoT big data platform as well as wireless smart sensors . We have WiFi and GPRS enabled sensors that meant for data monitoring and helpful in bringing high quality IoT gateways.
January 2024. Smart Farming, or Smart Agriculture, is a modern approach to farming that utilizes information and communication technologies (ICTs) to enhance productivity, optimize human labor, reduce cost, increase revenue, minimize the environmental impact, and enhance sustainability.
Smart farming technologies include sensors, software, connectivity, robotics, and data analytics.
The Internet of Things (IoT) is the driving force behind smart farming, integrating machines and sensors to make farming processes data-driven, automated, and constantly improving. Where Artificial Intelligence (AI) is used in smart farming to enhance harvest quality and accuracy in detecting crop disease and poor nutrition.
The IoT based smart farming cycle stages are observation, diagnostic, decision, and finally, action.
Smart farming applications include precision farming, vertical farming, robotic farming, and Agrivoltaics.
Smart farming stakeholders are suppliers, farmers, retailers, consumers, employees, communities, governments, NGOs, Telecom providers, and smart farming equipment manufacturers.
There are many advantages to using smart farming technologies, such as increased production and yield, waste minimization, accuracy and precision improvements, resource and energy conservation, revenue increase, cost reduction, sustainability enhancement, deficiency identification, and the competitive edge over farms not using smart technologies.
However, there are challenges (barriers) to smart farming adoption, such as poor connectivity and network coverage, difficulties for farmers to analyze large data volumes (big data) across multiple growing seasons, lack of knowledge in setting up complex IoT systems for farmers, tough farming conditions, as equipment must withstand extreme weather conditions, the high cost of cutting-edge equipment requiring costly updates, service, and maintenance.
There are environmental, social, and economic benefits to smart farming utilization, such as emission and pollution reduction, fertilizer and chemical use reduction, new job opportunities, and increased food security for local communities.
Policy wise, in 2019, the Food and Agriculture Organization (FAO) launched the Climate Smart Agriculture (CSA), a sustainable approach to transforming agricultural food systems, aiming to increase productivity, build resilience to climate change, and reduce emissions. CSA supports the Paris Agreement and the Sustainable Development Goals (SDGs).
In this slideshow, you will learn about the definition, technologies, applications, stakeholders, advantages, challenges; environmental, social, and economic benefits, United Nations (UN) policy, and global statistics of smart farming utilization. For more slideshows on environmental sustainability, please visit s2adesign.com
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
Using IoT as well as GSM, a whole new concept of farming using networks is introduced reducing labor, updating farmers about the live conditions of farms on mobile devices, and presenting its graphical values.
It makes the process handy with the click of a button.
Smart farms are those farms which is completely managed by the technologies. If you don’t know about the complete details of smart farming, then read our presentations and know how smart farms will work and what technology will use in smart farming. To know more, details, click here- http://bit.ly/2Nt1CTr
This is one presentation article which contains different constraints of IOT are used to convert the conventional agricultural system into a smart agricultural system. The productivity in agricultural system is enhancing day by day by incorporating the IOT mechanism. Some hierarchies and pictorial figures are shown to visualise the improvement through the last decade.
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.
1. Favoured destination for Agri-business and Food Processing industry with abundant raw material base,
skilled workforce, strong supporting ecosystem, and an industry friendly policy environment.
2. Home to 10 Agro-climatic zones on the basis of soil structure, topography, vegetation, elevation and
rainfall which supports a wide variety of crops.
3. Karnataka is the largest producer of coffee in the country, contributing 70% to national production.
4. Largest producer of Silk in the country accounting for 35% of the Silk production in the country
containing 49 Silk Farms and 92 Silk cooperatives.
5. Only producer of Rose Onions in the country, which are exported to Malaysia, Singapore, Indonesia,
Brunei, Bahrain, and UAE.
6. Karnataka is among the top producers of pomegranate, grapes, mango, lime/lemon and orange creating
opportunities for manufacturing products like juice, pulp, squash and jams
New advances in AI, biotech, drone technology, IoT, and satellites have transformed the way food is produced, managed, and distributed. This presentation discusses the technologies, legal hurdles, and investment trends of the growing AgTech industry.
Internet of Things (IoT) is the internetworking of physical devices. This system has the ability to transfer data over a network. Mostly without requiring human intervention.Internet-connected to the physical world via ubiquitous sensors.
It is connecting each and everything to the internet.
Background concepts of landscape and territory agronomyDavide Rizzo
Agriculture faces big challenges, such as feeding a growing population and providing an increasing panel of ecosystem services. However, concurrent changes either of the land use (e.g., urban sprawl), of the land system structure (e.g., innovative crop-livestock integration) or of the production practices (e.g., the agroecology transition of production systems) occur unevenly in space and over time. Yet, land is a limited resource and agricultural seems to have attained the peak for major productions. Hence, neither the expansion nor the intensification of current production systems could answer the expectations, also because of the deprecated trade-offs on natural resources. Altogether, the development of smarter spatial configurations of agricultural activities appears to be the most effective way to address all of these rapid and wide dynamics. Accordingly, agronomy is urged to develop a landscape perspective to improve the understanding of farming evolutions and to inform future scenarios. In this lecture, we will describe the conceptual model proposed by “landscape agronomy” and how it can help to understand interactions between farming practices, landscape patterns and natural resources. In addition, we will compare it with the “territory” concept underpinning a participatory action science that addresses the relations between different land users and managers in the design of future rural land systems. Finally, we will apply the aforementioned concepts to the comparison of some land management units to stress the role of a landscape-oriented approach to farming system design.
UbiBot’s specializes in providing access to your IoT data wherever and whenever you need. We offer products @ IoT big data platform as well as wireless smart sensors . We have WiFi and GPRS enabled sensors that meant for data monitoring and helpful in bringing high quality IoT gateways.
January 2024. Smart Farming, or Smart Agriculture, is a modern approach to farming that utilizes information and communication technologies (ICTs) to enhance productivity, optimize human labor, reduce cost, increase revenue, minimize the environmental impact, and enhance sustainability.
Smart farming technologies include sensors, software, connectivity, robotics, and data analytics.
The Internet of Things (IoT) is the driving force behind smart farming, integrating machines and sensors to make farming processes data-driven, automated, and constantly improving. Where Artificial Intelligence (AI) is used in smart farming to enhance harvest quality and accuracy in detecting crop disease and poor nutrition.
The IoT based smart farming cycle stages are observation, diagnostic, decision, and finally, action.
Smart farming applications include precision farming, vertical farming, robotic farming, and Agrivoltaics.
Smart farming stakeholders are suppliers, farmers, retailers, consumers, employees, communities, governments, NGOs, Telecom providers, and smart farming equipment manufacturers.
There are many advantages to using smart farming technologies, such as increased production and yield, waste minimization, accuracy and precision improvements, resource and energy conservation, revenue increase, cost reduction, sustainability enhancement, deficiency identification, and the competitive edge over farms not using smart technologies.
However, there are challenges (barriers) to smart farming adoption, such as poor connectivity and network coverage, difficulties for farmers to analyze large data volumes (big data) across multiple growing seasons, lack of knowledge in setting up complex IoT systems for farmers, tough farming conditions, as equipment must withstand extreme weather conditions, the high cost of cutting-edge equipment requiring costly updates, service, and maintenance.
There are environmental, social, and economic benefits to smart farming utilization, such as emission and pollution reduction, fertilizer and chemical use reduction, new job opportunities, and increased food security for local communities.
Policy wise, in 2019, the Food and Agriculture Organization (FAO) launched the Climate Smart Agriculture (CSA), a sustainable approach to transforming agricultural food systems, aiming to increase productivity, build resilience to climate change, and reduce emissions. CSA supports the Paris Agreement and the Sustainable Development Goals (SDGs).
In this slideshow, you will learn about the definition, technologies, applications, stakeholders, advantages, challenges; environmental, social, and economic benefits, United Nations (UN) policy, and global statistics of smart farming utilization. For more slideshows on environmental sustainability, please visit s2adesign.com
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
Using IoT as well as GSM, a whole new concept of farming using networks is introduced reducing labor, updating farmers about the live conditions of farms on mobile devices, and presenting its graphical values.
It makes the process handy with the click of a button.
Smart farms are those farms which is completely managed by the technologies. If you don’t know about the complete details of smart farming, then read our presentations and know how smart farms will work and what technology will use in smart farming. To know more, details, click here- http://bit.ly/2Nt1CTr
This is one presentation article which contains different constraints of IOT are used to convert the conventional agricultural system into a smart agricultural system. The productivity in agricultural system is enhancing day by day by incorporating the IOT mechanism. Some hierarchies and pictorial figures are shown to visualise the improvement through the last decade.
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.
1. Favoured destination for Agri-business and Food Processing industry with abundant raw material base,
skilled workforce, strong supporting ecosystem, and an industry friendly policy environment.
2. Home to 10 Agro-climatic zones on the basis of soil structure, topography, vegetation, elevation and
rainfall which supports a wide variety of crops.
3. Karnataka is the largest producer of coffee in the country, contributing 70% to national production.
4. Largest producer of Silk in the country accounting for 35% of the Silk production in the country
containing 49 Silk Farms and 92 Silk cooperatives.
5. Only producer of Rose Onions in the country, which are exported to Malaysia, Singapore, Indonesia,
Brunei, Bahrain, and UAE.
6. Karnataka is among the top producers of pomegranate, grapes, mango, lime/lemon and orange creating
opportunities for manufacturing products like juice, pulp, squash and jams
New advances in AI, biotech, drone technology, IoT, and satellites have transformed the way food is produced, managed, and distributed. This presentation discusses the technologies, legal hurdles, and investment trends of the growing AgTech industry.
Internet of Things (IoT) is the internetworking of physical devices. This system has the ability to transfer data over a network. Mostly without requiring human intervention.Internet-connected to the physical world via ubiquitous sensors.
It is connecting each and everything to the internet.
Big Expectations for Big Data - Grigoris Chatzikostas - Brussels 17.11.2017Grigoris Chatzikostas
Big Expectations from Big Data
REFLECTIONS FROM INTERACTING WITH STAKEHOLDERS ACROSS THE EUROPEAN AGRIFOOD VALUE CHAIN
Digitising agriculture and food value chains
Research and innovation delivering on EU policy objectives
Friday 17 November – Charlemagne building
Rocky Mountain Region 11 - Getting Smart About Smart HomesChad Curry
Presented on 4/12/16 to Region 11 meeting in Park City, UT.:
Learn how technology is enhancing your clients' quality of life in their homes. See the future of housing technology for improving home safety, comfort, energy efficiency and air quality.
Royse AgTech offers a round table discussion with several prominent silicon valley agtech industry expert about emerging and promising Agtech advancements. (08/2016)
How consumers use technology and its impact on their lives.robertpresz7
Video representing the consumers' use of technology and it impact on their lives. We're all consumers and technology is a tremendous advantage to our lives but how do we use it and how does in impact us ? You'll learn some of it in this presentation.
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
Accelerating automation and robotics in the agri-food sector - Soft fruitKTN
We hosted an initial webinar on 8th April to share the vision prepared by Prof Simon Pearson (Professor of agri-food technology at the University of Lincoln) and Dave Ross (CEO of Agri-EPI). We asked for contributions from the attendees to build on this vision.
Here are the key highlights from this webinar:
- There’s a strong capacity to absorb technology by end users
- The tech industry believes acceleration can have impact
- There is no single panacea but a range of projects that are viable and can have impact
Find out more here: https://ktn-uk.co.uk/news/ktn-helps-build-collaborations-to-accelerate-agri-food-automation-and-robotics-to-address-covid-19-challenges
Presentation in the CGIAR Science Week in Montpellier 2016 on how Big Data cna change agricultural research and development, and what the CGIAR needs to do.
Intro to International communication: Part 3 overcoming the three digital div...Moesha Mukhliz
INTERNATIONAL ISLAMIC UNIVERSITY MALAYSIA
KULLIYYAH OF LANGUAGES AND MANAGEMENT
ENCO 1101 SECTION 1
INTRODUCTION TO INTERNATIONAL COMMUNICATION
PART 3 OVERCOMING THE THREE DIGITAL DIVIDES
MADAM SHARIFAH SALWA BINTI ABDUL KARIM
Startup Law 101 How to Avoid Legal Pitfalls that Could Doom Your Startup.pptxRoger Royse
A presentation of the legal issues that startups and their founders need to know and the common legal pitfalls that affect startup companies. Unlike more mature companies, startups typically do not have large legal budgets and in house legal counsel focused on legal compliance. Nevertheless, startups must be aware of and comply with law, especially with respect to the issues that are unique to startups.
The presentation covers those unique issues as well as the sometimes surprising and every evolving California rules. In particular, we summarize:
Corporate formation and choice of entity and law;
Securities laws;
Labor and employment and why virtually evert startup in California is probably out of compliance and what you can do about it;
Intellectual property strategies using patent, trademark and trade secret;
Protecting your business through agreements;
Protecting the founders from personal liability;
And more.
The speaker will draw on more than 30 years of startup experience in describing how to manage legal risk on a startup budget.
How Your Company is Affected by the CARES Act and Related LegislationRoger Royse
"Idea to IPO" Webinar description:
The U.S. government is providing relief and stimulating the economy through the $2 TRILLION CARES Act of 2020 and other measures to help corporations, small businesses, and people laid off due to the COVID-19 crisis.
The speaker will discuss:
1) What is the CARES Act of 2020?
2) What does the CARES Act of 2020 hope to achieve?
3) Will there be follow up programs to come?
4) How can entrepreneurs and small businesses benefit from the CARES ACT of 2020?
5) How does one go about applying for grants and loans administered under the CARES ACT of 2020?
6) What are the new rules relating to sick leave and paid leave?
7) What COVID-19 related tax incentives are available to companies?
and more!
How to Get Your Startup Ready for Venture Capital Funding (Idea To IPO)Roger Royse
Venture capital funding is seen as the holy grail for a startup, often improving the company’s chances of a big IPO or exit dramatically. Most companies start their lives with the hope, if not the expectation, that they will eventually receive venture funding. This presentation will cover what a company should do to prepare for venture funding, what steps to take, what the venture capitalists expect and how to avoid venture capital deal breakers.
The speaker will discuss:
1) what types of companies are candidates for venture capital funding
2) the essential assets, qualities or aspects that your company must have to approach a venture capitalist
3) how (and when) you should value your company for venture capitalists
4) how you can protect yourself against dilutive rounds, losing control and being removed from management
5) how to get your company in front of venture capitalists
and more!
Roger Royse discusses the most common legal mistakes made by entrepreneurs and startups. This presentation will focus on issues related to business formation, fundraising, employment, intellectual property, tax, and technology.
Startup Basics: How to Split the Pie, Raise Money and Reward ContributorsRoger Royse
What’s my startup worth? How much equity should founders have? How much equity should I give to employees and consultants? How much should I give the VC’s?
Silicon Valley startup attorney Roger Royse of the Royse Law Firm discusses the basic valuation and ownership issues involved in a startup’s life, from formation to financing to exit, including how to value your company and the contributions of stakeholders and investors at each step with a particular emphasis on different models, best practices and traps to avoid.
Startup Basics: Legal, Business, and Financing StrategiesRoger Royse
Launching a startup - or starting a business - is challenging and is fraught with pitfalls.
Roger Royse, the founder of Royse Law Firm, will discus the basics of building a successful business and how to what mistakes to avoid. Roger will discuss:
1) How should entrepreneurs structure their business?
2) How should founders divide equity?
3) What’s the difference between a contractor and an employee?
4) How does a startup get funded?
5) What is an ICO?
6) How does an entrepreneur successfully negotiate with a VC?
7) How viable is crowdfunding in 2019?
8) How should entrepreneurs protect their intellectual property?
and more!
Funding 101 for Tech Entrepreneurs & StartupsRoger Royse
Roger Royse, founder of the Royse Law Firm, discusses the various options available to entrepreneurs when it comes to funding their startup.
Topics include:
1) What are the best funding options for entrepreneurs to scale their business?
2) When should entrepreneurs pursue external funding?
3) How do entrepreneurs choose the right investor?
4) What alternative sources of funding are available?
5) How and why should a founder stage their funding rounds?
6) When should a founder think about exiting?
7) How can advisors help with the funding process?
Royse Law Firm and BNY Mellon Wealth Management discuss the various legal, tax, and financial scenarios to consider when selling your business.
- Is this a good time in the global economic environment to be planning an exit?
- What personal financial planning is necessary to maximize the benefit of this exit for my family and me?
- What legal, tax, and financial due diligence is critical to ensuring a successful exit?
- What are the key elements to successfully selling your business?
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
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.
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…
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...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.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
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.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
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.
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.
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.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
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.
1. AgTech
ROGER ROYSE – ROYSE LAW
FIRM, PC
I R S C I R C U L A R 2 3 0 D I S C L O S U R E : T O E N S U R E C O M P L I A N C E W I T H T H E R E Q U I R E M E N T S I M P O S E D B Y T H E I R S , W E I N F O R M Y O U T H A T A N Y T A X A D V I C E
C O N T A I N E D I N T H I S C O M M U N I C A T I O N , I N C L U D I N G A N Y A T T A C H M E N T T O T H I S C O M M U N I C A T I O N , I N N O T I N T E N D E D O R W R I T T E N T O B E U S E D , A N D C A N N O T
B E U S E D , B Y A N Y T A X P A Y E R F O R T H E P U R P O S E O F ( 1 ) A V O I D I N G P E N A L T I E S U N D E R T H E I N T E R N A L R E V E N U E C O D E O R ( 2 ) P R O M O T I N G , M A R K E T I N G , O R
R E C O M M E N D I N G T O A N Y O T H E R P E R S O N A N Y T R A N S A C T I O N O R M A T T E R A D D R E S S E D H E R E I N .
3. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
The Eras of Agricultural
Technology Innovation
• Domestication
• Industrial Revolution
• Green Revolution
• Information Age
• AgTech Revolution
3
4. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
Dynamics
• Food Security
• Consumerism
• Labor
• Market Forces
• Funding
4
5. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
Food Security:
The Need for AgTech
• Total population by 2050: 9 billion
• 60-70% increase of food production needed to meet demand (UNFAO)
• 50% increase in prices
• 90% of crop production from higher yields on existing farmland
• More output, fewer inputs
5
6. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
By 2050
• 9 billion people
• 100% more food consumption
• 70% from technology
6
7. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
Consumerism
• Grow local movement
- Convenience
- Year-round food
- Urban and vertical farming
- Waste, transport, packaging
• Transparency
- Supply chain
• Sustainability
- Water, precision
• GMO and gene editing
• Environmental
• Animals and protein
• Growing middle class
• China
7
8. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
Farm Labor
“Larger farms usually perform better financially
[…] The differences reflect lower costs per unit of
production and not higher revenue. In turn, larger
farms appear to be able to realize more
production per unit of labor and capital.” *
“The average number of hired farmworkers has
steadily declined over the past century, from
roughly 3.4 million to just over 1 million.”*
8
*Statements from the USDA Economic Research Service
9. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
Shortage of Farm Labor
• Poor working conditions, back-breaking work
• Fewer undocumented migrants coming to the US
• No suitable alternative workforce
• Decreased supply, increased cost
9
10. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
Regulatory Effects on Labor
Agriculture = low margin industry
Who absorbs cost?
• Consumers?
• Farmers?
Raised minimum wage ($15 by 2022)
• Competitive wage: >$15
• Farms still lose 5-10% of crop production
due to lack of labor
Overtime regulations
• Gov. Jerry Brown signed bill in September
2016 to be implemented by 2022
Immigration
• 2015 glitch in seasonal worker visas
delayed arrival of legal farm laborers in US
• Competition with other sectors for visas
(H2-A ag guest worker program v. H1-B
tech visa)
1 0
11. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
Regulatory Effects on Labor
1 1
12. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
Markets:
Agriculture Economy
• Average farm in California is a
__$6 million to $10 million business
• California’s agriculture industry is a
__$46 billion per year industry
• In 2012, 70% of all farms had internet access
1 2
California is at the cutting edge of innovation within the agriculture sector, from water use
efficiency to research advancements and product development. Through social media and the
information age, we have the power to transform people’s relationship with government in a
positive way.
Secretary Karen Ross, CFDA
13. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
Funding AgTech:
Key Stats for 2018
1 3
14. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
1 4
Source: AgFunder
Funding AgTech
15. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
Investment Sources
• Angels
• Venture capitalists
• Corporate ventures
• Farmer-backed funds
• Private equity
• Accelerators/incubators
• Universities
• Government
• SBIR
• USDA
1 5
17. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
Older Ag Innovations
• Combines
• Soil cultivators
• Harvesters
• Strawberry
• Tomato
• Oranges
• Almond sweepers
• Mechanical spinners
• Produce sorter
1 7
18. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
New Innovations in AgTech
• Blockchain
• Precision Agriculture
• Big data and analytics
• Molecular and cell biology
• Soil
• Drones and satellites
• Farm management
• Supply chain
• Mobile
• Social media
1 8
19. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
Precision Agriculture
Allows farmers to determine when, where, and
what to plant with an extreme level of accuracy.
Automated three-step process
1. Collect information
2. Creates a soil (field) map to analyze
3. Combines soil and yield information
Today, precision ag provides:
• Satellite navigation and guidance
• Monitoring and mapping of yields
• Live soil information through sensors installed
in vehicles
• Crop information through drones, bots, and
satellites
• Water and grow equipment
• Farm management and decision support
1 9
20. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
Base Ag Tech: Gathering Data
Yield monitors
• Instantly records and displays crop yields from
farm equipment
Global positioning systems (GPS)
• Pinpoints exact locations of crops
• Produces precise maps (grid soil sampling),
marking exact latitude and longitude on a
gridded map
Remote sensing (RS)
• Data collected through satellite imagery
• Determines health and vigor of growing crops
• Provides better agricultural survey of field than
manual sampling
Geographic information systems (GIS)
• Maps data and analyzes relationships between
factors (Soil types, fertilization levels, crop
yields, etc.) in user-friendly way
Variable rate technology (VRT)
• Any tech that allows producers to vary the rate
of crop inputs
2 0
21. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
Big Data, Analytics, and IoT in
Precision Ag
Collects vast amounts of data
• Requires advanced technologies to analyze
Uploads results to the cloud
• Provides real-time information on land and crops
to farmers
Allows for better growing decisions
• Farmer management benefits
Ownership, access, use, and control of Ag data
is an important topic
Report times
• Batch
• Monthly
• Weekly
• Daily
• Hourly
• Near real time
• Real time
2 1
22. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
Farm Management,
Sensing, and IT
2 2
23. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
Social Media
2 3
The global agricultural community is:
• Connected
• Engaged
24. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
Mobile Only (and Beyond)
2 4
The enterprise potential of mobile is greater than
today’s smartphone and tablet apps
25. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
Other Trending Technologies
• Machine learning
• Satellite imagery
• Sustainable protein
• Big data
• Food safety
• Gene edited crops
• Robotics
• Plant sensors
• Smart farm devices
• Supply chain & analytics
• eCommerce &subscription
delivery
• Farm to business
marketplace & platforms
• Infrastructure
• Community building
• Regulator guidance
• Waste reduction & monitoring
• Biological crop protection
• Indoor agriculture
• Soil health
• Animal tech
• Product procurement
• Cellular agriculture
• Plant and pest identification
• UAVs
2 5
26. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
Farm Tech Examples
• Consider what can be automated?
• Possibly Harvest, transport, sort, grade,
inspect, or package
• Automate the low skilled, more dangerous or
unhealthy jobs and use current labor supply
for more meaningful positions.
2 6
27. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
Soft Robotics: Delicate Produce
Gripper
• “This is the most exciting project I’ve worked on in my career,”
says Alan Applonie, President of Taylor Farms Pacific.
• Octopus inspired robot fingers can handle delicate produce such
as cherry tomatoes and strawberries without damaging them.
• Taylor farms invested $1 million
• HQ in Cambridge, MA
2 7
Video Demo
28. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
Kray Technologies: Self-
Piloting Agriculture Drone
• Designed to replace aerial and ground sprayers at 1/10 the
cost
• Travels 70 MPH and enables farmers to spray up to 1,200
acres per day
• Flies 1 meter above crops to reduce spray drift
• Fully automatic and available 24/7
2 8
Video Demo
29. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
Crop Enhancement:
Sustainable Crop Protection
• Developed a sustainable and environmentally friendly
alternative to traditional pesticides.
• CropCoat forms a film that modifies plant surfaces (leaves,
stems, fruit, and seeds) to improve their resistance to pests
and diseases.
2 9
Video Demo
30. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
Teralytic: Soil Health
3 0
• Allows growers to easily monitor soil health.
• Probes contain 23 sensors reporting soil moisture,
salinity, aeration, respiration, NPK, air temperature,
and humidity - at three different depths.
• Requires minimal wiring. No Wi-Fi or internet
connection needed.
• Automatically sends alerts when sensors detect poor
soil conditions for crops.
31. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
AgBoost: Livestock Insights
• Provides genetic profiles and assessments of
livestock
• Gives breeding suggestions, forecasting, lineage
tracking, and nutrition recommendations
• Data lives in the cloud
3 1
Video Demo
32. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
Ganaz: Connecting Growers
with Workers
3 2
• Enables employers to post jobs and connect with local farm
workers.
• Makes it easy to rehire workers from previous years.
• Allows supervisors to draft and translate messages / instructions
for workers.
Video Demo
33. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
FreshSurety: Freshness Reporting
• Helps measure the freshness of produce with
low cost disposable sensors.
• Monitors and reports temperature, moisture, and
metabolite data.
• Allows measurement of cooling and packing
performance, pre-shipment quality assessment
and approval, in-transit quality tracking, and
incoming acceptance based upon shelf life.
3 3
34. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
Osmo: The Future of Shrimp
Farming
• Provides hardware and software for maximizing
shrimp production.
• Monitors dissolved oxygen, pH, NH3, nitrites,
nitrates, turbidity, temperature, and salinity
• Automates water quality and feed management
to optimize shrimp growth rates.
3 4
36. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
Legal Issues
• Farm data
• Data and privacy standards
• Drones
- Benefits/problems
- Legality
• IP Issues
• Antitrust
3 6
37. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
Issues in Big Data
Lack of data standards
• No standard today
• Makes data use/cooperation a challenge
• AgGateway, Open Ag Data Alliance, etc. are
working to solve this
Data privacy and security
Data ownership
• Who owns the data?
• Who controls the data?
• Is there intellectual property in the data?
3 7
38. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
Legal Issues: Data
Ownership and Privacy
Data ownership
• The AFBF warned that companies collecting
data from farmers may use it for their own
commercial advantage in ways not foreseen by
farmers
• AFBF advised farmers to consider data
ownership rights when storing data in the cloud
Privacy
• Environmental activist groups are demanding
information and transparency from farmers.
• With more data in the cloud, there is more
information for them to request.
• In 2012, the EPA released personal information
on farmers following a FOIA request.
Data can be sensitive; farmers want some
information kept private (e.g. pesticide use)
3 8
39. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
AgData: Ownership,
Access, & Use
Licenses: Startups using standard EULA
• SaaS, Terms of Services, Browser, Click Wrap
Issues
• Is digital data property, and who owns it?
• Who has rights to posses, use, enjoy, exclude,
transfer, consume?
• What are the rights and responsibilities of the
parties?
• How can growers access the data?
• Is the data accurate and presented in a useful
way?
• Trade secret protection (UTSA)
- Information
- Independent economic value from unknown
- Reasonable efforts to maintain secrecy
3 9
40. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
Issues in AgTech Data
Biggest Issues:
• Ownership
• Access
• Control of data
2013 EPA CAFO Data Incident*
• Earth Justice, the Natural Resources Defense
Council, and the Pew Charitable Trust made a
FOIA request
• Received information on ~80,000 farmers and
ranchers
• Included personal data
4 0
*Smart Farming May Increase Cyber Targeting Against US Food and Agriculture Sector, Joint Private Industry
Notification of USDA and FBI Cyber Division, March 31, 2016
41. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
Ownership, Use, and
Disclosure of Data
Farmers want to retain ownership of their data
• Can they take data with them if they no longer use the service?
Do all parties have the appropriate rights to use the data?
Farmers are concerned about who ends up with the data
• Wall Street traders could manipulate market prices
• EPA could look for potential regulatory violations
• Retailers could use the information to sell new parts when an existing part needs replacing or
to set prices
4 1
42. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
Blind Data
What is aggregated, or “blind,” data?
• Data combined from two or more sources
• “Anonymized”
Is it truly anonymized?
• Is all personal data removed?
• Are there enough sources to ensure
anonymization (especially for small startups)?
• Can the aggregated data be reverse
engineered to find out where the data
originated?
Aggregated data is required for software
companies, but precautions should be taken
to ensure true anonymity
4 2
43. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
Data and Privacy Objectives
Farmers are increasingly becoming aware of the need to protect their data and enforce their
ownership rights through stakeholders
• Government
• Input providers
• Trade groups
• Startups
Stakeholders are trying to implement a common set of data and privacy standards to guide
Agriculture Technology Farmers (ATPs), farmers, and other contracting parties on appropriate
contract terms
4 3
44. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
Current AgTech Data Standards
Open Ag Data Alliance (OADA)
• Open data sharing standards (API’s) and open source software libraries, March 2014
American Farm Bureau Federation (AFBF) Privacy and Security Principles of Farm Data
• Affirmed by 39 Ag entities as of April 1, 2016
• Originally known as the 2014 Farm Data Principles Agriculture Data Coalition
Agriculture Data Coalition (ADC)
• Partnership of agriculture stakeholders focused on building a “farmer-centric data repository where
farmers can securely store and control the information collected every day in the fields by their tractors,
harvesters, aerial imaging and other devices.” (March 2016)
4 4
45. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
Current AgTech Data Standards
Farmobile, Inc. – Ag Data Collection Startup
• Farm Data MarketPlace where Farmobile collects offers from companies that want to use the farmer’s
data, whole transaction is governed by Farmobile’s legal agreements
“Guiding Principles” Independently Developed by Ag Companies
• Ex. Climate Corp, Farmer’s Business Network, John Deere
4 5
46. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
AFBF Privacy & Security
AFBF principles include the following key provisions that should be incorporated into contracts:
• Easy to understand language
• Farmers should own information generated through their farming activities and any use of that data by
the ATP is only with the explicit and affirmative consent of the farmer
• ATPs shall notify farmers how their data is to be used, with whom it will be shared, and for what purpose
• Farmers should be able to retrieve their data for use with other systems
• ATPs shall not sell or disclose a farmer’s data to other parties without notifying the farmer and without
that other party agreeing to the same terms as the farmer
• ATPs shall use reasonable security safeguards to protect against risk of loss or theft of data
4 6
47. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
Workable Standards?
Strong protections for farmers, but not always workable
• Many farmers are not able to negotiate terms
• May feel they are in “take it or leave it” position
• The business model of some ATPs is the collection and presentation of data (subscription model)
- The ATP doesn’t want to let farmers take this data with them when they no longer pay for the service
• Contract terms are complicated due to the multiple agreements in place
4 7
48. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
Problem: Lack of Formal Agreement
Current Industry “M.O.”: Agriculture is a handshake industry
• Driven by personal interactions, not formal agreements
• Farmers often prefer to “kick the tires” for on-farm products
• Pre-revenue transactions, like field trials (including university trials), are done without agreements
Issue: Without a contract, different laws are implicated that these parties never anticipated
• Intellectual property: Trade secret disclosure, ownership of IP (patents, data, “results and
recommendations”)
• Contract law: Implied contract principles
• Torts: “Negligence” damages for startups who provide services
Solution: Education and information on importance of a formal agreement
4 8
49. Federal and State Background
• The current regulatory system for data protection in the United States resembles a patchwork quilt. Unlike other
jurisdictions, the United States does not have a dedicated data protection law, but instead regulates primarily by
industry, on a sector-by-sector basis.
• The House Agriculture Committee held a hearing on data practices in the agriculture industry in October of
2015. Most panelists agreed that little to no government intervention was desired.
• Industry groups have attempted to come up with best practices regarding data privacy and security for
companies in the agriculture industry.
• These are voluntary standards which do not hold the force of law.
R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
50. • Passed House and included in 2018 Farm Bill
• Facilitate rural broadband internet access. Focused on telematics: technologies that “upload” data
via the internet
• Without fast upload speeds, telematics must use after the fact transfers of field data via fiber optic
connections
• Bill creates an FCC Task Force which would Identify current gaps in farm and ranch broadband
coverage
• Assemble a guide of federal resources devoted to broadband
• Develop policy recommendations for deployment
• Goal of 95% cropland coverage by 2025
• Submit annual reports to Congress
R O Y S E A G T E C H I N N O V A T I O N N E T W O R K
Precision Agriculture Connectivity
Act of 2018
51. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
DMCA and Copyright Exemptions
General right to maintain software
Digital Millennium Copyright Act (DMCA, 1998)
• Criminalizes acts of circumventing “digital locks”
• DRM rules designed to prevent copying a video
game or jailbreaking game console to play
unlicensed games
John Deere: “Ownership of equipment does
not include the right to copy, modify or
distribute software that is embedded in that
equipment.”
Exemption of automotive software
• Available on October 28, 2016
• When circumvention is a “necessary step […] to
allow the diagnosis, repair or lawful modification
of a vehicle function”
• Only available to “authorized owner” of vehicle
• Expires October 28, 2018
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52. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
Agriculture Drones
5 2
The global market for agricultural
drones:
• Currently estimated at $494 million
• $3.69 billion by 2022
53. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
Agriculture Drones
5 3
Use of drones for agriculture
• Monitor land for weeds and weather damage
• Collect data on land
Concerns/problems with the use of drones
• Privacy issues - not a huge concern with
farmland
• Safety issues - collisions and crashes
• Use problems
- Cost of entry
- Battery life
- Connectivity
- Presentation of data
54. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
Drone & Satellite Technology
5 4
Drones could revolutionize farming through
• Mass data collection
• Surveying land and planting seeds
• Surgical precision in the use of pesticides, fertilizer, and water
Brazil and Japan use drones in agriculture
• FAA issued new rules to regulate commercial use of drones in 2016
Safety and privacy concerns that affect urban areas may not apply to farms
• However, farmers are concerned that drones will be used by environmental groups to spy on and
monitor their operations
55. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
FAA Rules for Commercial Drones
5 5
Part 107
56. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
Gene Edited Crops
5 6
• GEC is the new unregulated GMO
• No more foreign DNA or transgenic gene delivery
• CutDNA at targeted location in genome and insert desired genes in that place
• Cheaper and quicker than GMO technology
• CRISPR Cas-9 technique: Enables geneticists to edit parts of the genome by removing, adding, or
altering sections of the DNA sequence
• Who invented CRISPR? Any overlap?
- UC Berkeley (Filed first) - Broad Institute of MIT and Harvard (Approved first)
- Bacteria use - Use in higher organisms
57. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
Gene Edited Crops
5 7
Legality: There is none
• Proposed regulatory oversight for GECs EPA, FDA, and USDA
• Coordinated Framework for Regulation of Biotechnology only regulates GMO technology
April 2016: USDA confirmed twice that it cannot regulate GECs
• GM regulatory framework was written to only handle GM modified products
EU also considering how to class gene-edited plants
• Are they genetically modified or not?
Hope that new regulations will be science-based and more flexible to evolve with new
technologies, rather than piecemeal technology based legislation
58. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
Anti-Trust
5 8
May be anti-trust issues with ATPs that collect
and share data on prices of products or inputs
• Section 1 of the Sherman Act
- Collusion: “Unreasonably restrain competition”
- Agreement to fix price; agreement to allocate
___markets; agreements to boycott particular
___customers, suppliers, competitors, etc.
- Knowledge of prices to reduce competition and
___stabilize prices
• Section 2 of the Sherman Act
- Monopolization or attempt to monopolize
___(although, not easy to find monopolization)
• Clayton Act
- Anticompetitive mergers
- Bayer-Monsanto merger: Shareholders of
___Monsanto approved on 12/12/2016
- ChemChina-Syngenta merger
- Dow Chemical-DuPont merger
59. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
IP Issues
5 9
Contracts
• ATPs must balance complex contracts with need
to provide farmers with straightforward information
• Lots of inherent complexity, especially when an
ATP sells combined hardware and software
- There could be software on the hardware,
___separate software sold to the farmer for use on
___personal computer, and SaaS subscription (all as
___one service)
- All software will have different terms of use
• Farmers often work with dealers
- Dealers sometimes collect and input the data
- Who has the relationship with the dealer?
___- Need to ensure all the parties have correct
____licenses
• ATPs should consider using FAQs on website to
answer questions from farmers
- Need to ensure answers are consistent with
____privacy policy, end user agreements, etc.
60. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
IP Issues
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Monetization
• Sale of software and add-ones
• Patents
- Hardware and software
• Big Data
- Reports
- Aggregated data
- Must have rights to use the data in this way
• Subscription services
61. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
Royse Law Firm
6 1
1. Premier AgTech law practice
2. Tech startup network
3. Full-service firm
62. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
Free eBook
6 2
Dead on Arrival
How to Avoid the Legal Mistakes That Could Kill Your Start-Up
Visit: RRoyseLaw.com/book
63. R O Y S E A G T E C H I N N O V A T I O N
N E T W O R K
Contact Us
6 3
Silicon Valley
149 Commonwealth Drive
Suite 1001
Menlo Park, CA 94025
San Francisco
135 Main Street
12th Floor
San Francisco, CA 94105
Santa Monica
520 Broadway
Suite 200
Santa Monica, CA 90401
Orange County
135 S. State College Blvd
Suite 200
Brea, CA 92821
rroyselaw.comRoyseAgtech.com