Cumela ontbijtsessie op AgroTechniek Holland, 9 september 2016: Data , ‘de nieuwe melkkoe’ voor de cumelasector?
Dagelijks zijn cumelabedrijven bezig met verwerken van data voor klanten en voor de eigen bedrijfsvoering. Ook andere partijen in de keten zijn geïnteresseerd en op zoek naar data. Wordt dit de ‘nieuwe melkkoe’ voor de cumelasector? Wat gebeurt er in het speelveld van de uitwisseling van data in de agrarische ketens? Wie heeft de leiding? Waar is het wel geregeld en waar niet? Wie heeft de leiding? Waar liggen uitdagingen? Wat is de rol van cumelabedrijven? Wie is de eigenaar? Wat zijn mogelijke verdienmodellen voor cumelabedrijven?
2014.11.21 den bosch ic tin agrifoodketens verdouw v2Cor Verdouw
Presentatie voor het jaarevent van de ICT-Community Den Bosch over Digitalisering van de voedselketen Food for thought!
Zie ook het bijbehorende artikel uit de congresflyer: http://www.ict-community.nl/gn/nieuwe_technologieen_agrifood
Cumela ontbijtsessie op AgroTechniek Holland, 9 september 2016: Data , ‘de nieuwe melkkoe’ voor de cumelasector?
Dagelijks zijn cumelabedrijven bezig met verwerken van data voor klanten en voor de eigen bedrijfsvoering. Ook andere partijen in de keten zijn geïnteresseerd en op zoek naar data. Wordt dit de ‘nieuwe melkkoe’ voor de cumelasector? Wat gebeurt er in het speelveld van de uitwisseling van data in de agrarische ketens? Wie heeft de leiding? Waar is het wel geregeld en waar niet? Wie heeft de leiding? Waar liggen uitdagingen? Wat is de rol van cumelabedrijven? Wie is de eigenaar? Wat zijn mogelijke verdienmodellen voor cumelabedrijven?
2014.11.21 den bosch ic tin agrifoodketens verdouw v2Cor Verdouw
Presentatie voor het jaarevent van de ICT-Community Den Bosch over Digitalisering van de voedselketen Food for thought!
Zie ook het bijbehorende artikel uit de congresflyer: http://www.ict-community.nl/gn/nieuwe_technologieen_agrifood
Smart Farming is a management style that uses technology to reduce environmental impact of agricultural practices. Satellite Navigation is a major enabler for smart farming. The slides supported a presentation given at the Space Solutions conference in Munich, November 2013.
บรรยากาศงานสัมมนา Internet of things Technology Review for SMEs
หัวข้อ การประยุกต์ใช้ Internet of things สำหรับการทำการเกษตร (SmartFarm)
คุณอดุลย์ นันทะแก้ว
Soft Power Group Co., Ltd
http://softpowergroup.net/
Deep Machine Learning for Making Sense of Biotech Data - From Clean Energy to...Wesley De Neve
Deep Machine Learning for Making Sense of Biotech Data - From Clean Energy to Smart Farming. Presentation given at the Korea-Europe International Conference on the 4th Industry Revolution.
Planning, implementing and evaluating Climate-Smart Agriculture in smallholde...FAO
http://www.fao.org/in-action/micca/
This presentation by Janie Rioux, FAO, outlines the experience of the Mitigation of Climate Change in Agriculture (MICCA) pilot projects in Kenya and the United Republic of Tanzania.
The Smart Ass™ Fan is the latest ceiling fan from Big Ass Fans®. Smart products are everywhere now, and they’re connected. Imagine a family of smart products and how much content could be/should be shared. These products can include mechanical, electrical and software parts AND content.
How will you deal with this explosive content requirement? This presentation takes a tour of the problem and explains what content engineering is …and how it can be used to create a sustainable content life cycle. Smart products need smart content.
This presentation was given at Information Development World on October 2, 2015.
Advance Agro Farm Design With Smart Farming, Irrigation and Rain Water Harves...IJOAEM
The paper presents the design of agriculture farm especially for the plane region which can well utilize by the farmer to sort out the scarcity of water for crop growth. The farmers are subjected with the lots of problem in agriculture like improper irrigation, selection of crops, non availability of whether information according to their region, the problem from pest and wild animals. Due to these problems, the suicidal case of farmers gets increase day by day. These problems can be sort out by using IoT. Here we use Arduino Yun having inbuilt Wi-Fi to transfer and analyze data using any IoT platform likes Kaa IoT, Watson IoT, and Cayenne. We can use different IoT communication technology like Z-wave, 6LowPAN, Thread, Sigfox, and Neul to communicate various sensors to the external world according to the application. Here we simulate the design of entire sensor network used in this project using NetSim simulator and emulator software. After emulation of designed network design by taking 50 m as field size, we obtained various graphs which show throughput of each link from sensor node up to the monitoring base station, graphs of various parameter like packet transfer, collided packets, payload and overhead transmitted and battery consumed by each sensor for specified duration. Also, farmers are able to grow a health hazard free crop for the upcoming generation.
Smart farming for the Future Lynne Strong CCRSPI conference feb 18th 2011 Art4Agriculture
Smart farming for the Future Lynne Strong CCRSPI conference feb 18th 2011
A Farmer Case Study on Socio Economic Issues facing Australian farmers in peri-urban areas
Johan Jacobs (Sirris) presented this talk about Digital Factories and Factories of the Future at the second @itworks meetup "From 3D Printing to Digital Factories"
Smart Farming is a management style that uses technology to reduce environmental impact of agricultural practices. Satellite Navigation is a major enabler for smart farming. The slides supported a presentation given at the Space Solutions conference in Munich, November 2013.
บรรยากาศงานสัมมนา Internet of things Technology Review for SMEs
หัวข้อ การประยุกต์ใช้ Internet of things สำหรับการทำการเกษตร (SmartFarm)
คุณอดุลย์ นันทะแก้ว
Soft Power Group Co., Ltd
http://softpowergroup.net/
Deep Machine Learning for Making Sense of Biotech Data - From Clean Energy to...Wesley De Neve
Deep Machine Learning for Making Sense of Biotech Data - From Clean Energy to Smart Farming. Presentation given at the Korea-Europe International Conference on the 4th Industry Revolution.
Planning, implementing and evaluating Climate-Smart Agriculture in smallholde...FAO
http://www.fao.org/in-action/micca/
This presentation by Janie Rioux, FAO, outlines the experience of the Mitigation of Climate Change in Agriculture (MICCA) pilot projects in Kenya and the United Republic of Tanzania.
The Smart Ass™ Fan is the latest ceiling fan from Big Ass Fans®. Smart products are everywhere now, and they’re connected. Imagine a family of smart products and how much content could be/should be shared. These products can include mechanical, electrical and software parts AND content.
How will you deal with this explosive content requirement? This presentation takes a tour of the problem and explains what content engineering is …and how it can be used to create a sustainable content life cycle. Smart products need smart content.
This presentation was given at Information Development World on October 2, 2015.
Advance Agro Farm Design With Smart Farming, Irrigation and Rain Water Harves...IJOAEM
The paper presents the design of agriculture farm especially for the plane region which can well utilize by the farmer to sort out the scarcity of water for crop growth. The farmers are subjected with the lots of problem in agriculture like improper irrigation, selection of crops, non availability of whether information according to their region, the problem from pest and wild animals. Due to these problems, the suicidal case of farmers gets increase day by day. These problems can be sort out by using IoT. Here we use Arduino Yun having inbuilt Wi-Fi to transfer and analyze data using any IoT platform likes Kaa IoT, Watson IoT, and Cayenne. We can use different IoT communication technology like Z-wave, 6LowPAN, Thread, Sigfox, and Neul to communicate various sensors to the external world according to the application. Here we simulate the design of entire sensor network used in this project using NetSim simulator and emulator software. After emulation of designed network design by taking 50 m as field size, we obtained various graphs which show throughput of each link from sensor node up to the monitoring base station, graphs of various parameter like packet transfer, collided packets, payload and overhead transmitted and battery consumed by each sensor for specified duration. Also, farmers are able to grow a health hazard free crop for the upcoming generation.
Smart farming for the Future Lynne Strong CCRSPI conference feb 18th 2011 Art4Agriculture
Smart farming for the Future Lynne Strong CCRSPI conference feb 18th 2011
A Farmer Case Study on Socio Economic Issues facing Australian farmers in peri-urban areas
Johan Jacobs (Sirris) presented this talk about Digital Factories and Factories of the Future at the second @itworks meetup "From 3D Printing to Digital Factories"
We staan aan de vooravond van de vierde industriële revolutie die mogelijk wordt gemaakt door de combinatie van het internet met nieuwe technologieën zoals robots en drones. In dit White Paper nemen we u mee naar een tuinbouw gebaseerd op deze combinatie; Tuinbouw 4.0.
We belichten waarom niet meedoen aan de digitale revolutie ook voor de tuinbouwsector geen optie is en staan stil bij een aantal obstakels tussen wens en werkelijkheid.
We vragen ons bovendien af of de consument wel zit te wachten op alles wat de digitale revolutie haar te bieden heeft en laten een aantal ondernemers aan het woord die de sprong naar Tuinbouw 4.0 al hebben gewaagd.
Internet of Things - Smart Industry bijeenkomst bij Thales Nederland i.s.m. K...Michiel Verheij
Hoe kunnen ondernemingen sneller en efficiënter inspelen op eisen die een steeds competitiever wordende markt aan hen stelt? Nieuwe technologische ontwikkelingen stellen ondernemingen in staat om producten en processen steeds slimmer en flexibeler te maken om zodoende blijvend concurrentievoordeel te behalen.
Internet of Things, Smart Industry, Industrie 4.0. Deze termen vallen steeds vaker. Wat houden ze in en belangrijker nog, op welke wijze kunnen ondernemingen hier hun voordeel mee doen? Deze presentatie vormt een deel van een bredere bijeenkomst die op 17 juni 2014 heeft plaatsgevonden waar wij inzicht geven in Internet of Things en Smart Industry en krijgen deelnemers handvatten om hier concreet mee aan de slag te gaan.
Deze bijeenkomst op de nieuwe Thales Campus in Hengelo (Ov) vormt de aftrap om in Oost Nederland clusters te gaan bouwen met maakindustrie bedrijven en system integrators die concreet aan de slag zijn of gaan met Internet of Things - Smart Industry
Presentatie bij inspiratie bijeenkomst Smart Industry.
Aan de hand van concrete voorbeelden en tips van collega ondernemers laat KvK zien wat er nu al kan en hoe ondernemers nu al zelf aan de slag kunnen met het verzilveren van Smart Industry mogelijkheden en businesskansen.
The Internet of Things for Food - An integrated socio-economic and technologi...Sjaak Wolfert
The domain of agri-food is increasingly being digitized through the introduction of all kind of smart devices and software: the Internet of Things (IoT). I distinguish 4 application areas in which IoT and the digital transformation is expected to bring big changes and where data will play an increasingly larger role:
1. Digital data is becoming more important for decision-making for actors at any level of the agri-food supply chain: from farmers, through logistic providers to consumers.
2. The same data is essential for food integrity, providing assurance to consumers and other stakeholders about safety, authenticity and quality of food.
3. Public decision-making for societal challenges such as food security, climate change, healthy food and nutrition could also tap into these data instead of using separate censuses and statistics which are usually lagging behind.
4. Finally, this digitization is driven by fast developments in science and technology (S&T), such as Artificial Intelligence, Internet of Things, Blockchain, etc. At the same time, advancements in data science also heavily rely on the data that is being generated by the application of data-driven research; simply put: no big data analytics without big data.
Now it could be expected that this is purely a technological development. However, I will show how the organisational development is equally important, coining an integrated, multi-disciplinary approach. The heart of this approach is formed by use cases in which digital solutions are designed, tested & implemented and evaluated in a real-life environment, following a cyclic, iterative development path. It is supported by (i) data science and information management, (ii) business modelling, governance & ethics and (iii) ecosystem development. The approach will be demonstrated by an existing example from the wine sector.
The outline of this presentation consists of three parts. First, I will describe the trends and developments concerning the digital transformation of the agri-food sector. This will conclude with the definition of the innovation challenge for digital innovation in this sector. Then I will introduce an integrated innovation approach to address this challenge. Finally, I will use a real-life example from pig production to illustrate how this approach works in practice. Finally, I will end up with some conclusions.
I showed how the digital transformation of the agri-food sector is taking place and that there is a clear potential for sustainable food systems. Through the digital transformation a lot of data is produced which can be used for multiple purposes. You have learned that digital innovation is not only about technology, but that technical and organizational issues should be addressed, at the same time. Therefore, digital innovation should take place in a real-life context by use case projects, following a multi-disciplinary, collaborative, agile approach.
If you are interested in more details about the Pig Farm Management, contact Jarissa Maselyne from ILVO. I encourage you to join the SmartAgriHubs community by registering in the Innovation Portal and you can also come to the final event in Lisbon within a few weeks. Hundreds of stakeholders and more than 20 partner projects are coming together to share experiences on Digital Innovation in the Agri-Food sector. You are also welcome to subscribe to our on-line course that is enabled by Wageningen Academy. And finally, if you want to know more about how we deal with data in Wageningen, contact the Wageningen Data Competence Center.
This is a presentation I held in the workshop in which we discussed and offered how the SmartAgriHubs network can support proposals for the current Horizon Europe call 'HORIZON-CL6-2022-FARM2FORK-02-04-two-stage: Smart solutions for the use of digital technologies for small- and medium-sized, farms and farm structures'.
IoT and 5G in Agriculture: opportunities and challengesSjaak Wolfert
This is a keynote presentation at a workshop that was organized by Marconi Labs Coltano on 'Wireless technologies in agriculture. The presentation describes the general trend of digitalization in agriculture and food production. This is further illustrated by the IoF202 use case 'Big Wine Optimization' that demonstrates use of the Internet of Things (IoT) in agri-food. From this use case an overall, integrated approach to work on digital innovation is deducted which emphasizes both technological as well as organizational aspects. It also briefly introduces the potential use of 5G illustrated by a use case of the weed detection robot using a pre-5G network in The Netherlands. Recommendations to leapfrog development are provided for three distinctive scenarios ranging from 'no smart farming yet applied' to '5G implementation available'. The presentation ends with conclusions, that are also provided in Italian.
AI for intelligent services in Food SystemsSjaak Wolfert
This presentation was presented at the IEEE 5G Worldforum in a session 'Dialogues between 5G/B5G and Vertical Domains: AI for Intelligent Services. Several use cases in Food Systems that use 5G are presented of which the 'weed detection robot' in more detail. Enabling factors and recommendations for the use of 5G to create intelligent services using AI are discussed.
Navigating the twilight zone - pathways towards digital transformation of foo...Sjaak Wolfert
The Twilight Zone as a metaphor refers to the situation where innovations have proven to be promising but have to be up-scaled to a higher level of adoption. Therefore we have to bridge the difference between technology readiness and user readiness. “We don’t need more apps. We need a system”. This short quote of a farmer reflects the high degree of fragmentation and discontinuity in innovation processes we observe.
More focus on the user readiness of technologies and support by multi-actor ecosystems is required, in which innovations are embedded in a system approach and tested in living labs. These are important pathways towards a sustainable digital innovation ecosystem and to navigate through the Twilight Zone.
During the 2021 Mansholt Lecture, l presented the options and challenges for stakeholders in the transition towards a sustainable digital innovation ecosystem. Europe needs to consider creating an integral European policy on this issue.
This presentation was held in a panel discussion on 'Digital transformation in agri-food sector through policymaking and innovation' at the Digital Agriculture Forum Webinar, jointly organized by FAO and Zhejiang University.
It describes how the EU project SmartAgriHubs is working on connecting the dots to mitigate the current fragemented development of smart, digital solutions for agriculture. The key for this approach is creating a network of Digital Innovation Hubs closely connected to a network of Competence Centres. The DIHs are creating new Innovation Experiments at a local, regional level, supported by the network. The Innovation Portal can facilitate matchmaking to do so. The approach can be further extended to other continents and regions such as Africa.
Digital Innovation Hubs – Digital Transformation of Agriculture at a Regional...Sjaak Wolfert
• Build local digital innovation hubs offering innovation services and access
to finance
• Organize regional challenges for initiating new Innovation Experiments
• Conduct multi-actor Innovation Experiments for a digital transformation
• Creating a pan-European network of Digital Innovation Hubs
and Competence Centres
Digital innovation for sustainable food systemsSjaak Wolfert
This presentation will show that digital solutions help addressing multiple sustainability issues, particularly illuminating how producers and consumers can use digitalisation to support a transition towards healthier diets.
Large ICT-projects in Agri-Food in EuropeSjaak Wolfert
This is a presentation about the background, development and state-of-the-art of large ICT-projects in Agri-Food that are going on in Europe: Internet of Food and Farm 2020 (IoF2020) and SmartAgriHubs.
oversea
This is the presentation on understanding the SmartAgriHubs project that I gave at the kick-off event in Prague, Czech Republic on the 5th of March 2019. It starts with the background of the Digital Transformation that is going on in the Agri-Food sector. Then the objective is decribed followed by the 5 basic concepts that are the basis of this project: Digital Innovation Hubs, Innovation Expriments, Competence Centers, Innovation Portal and the Innovation Services Maturity Model. Next, the project approach and work package structure are explained. The presentation is concluded by the most important KPIs and numbers of the project.
This is a keynote presentation presented at a conference on INNOVATIVE TECHNOLOGIES AND DATA APPLICATIONS IN THE AGRIFOOD SECTOR, 26 February 2019 at Boğaziçi Üniversitesi South Campus, Rectorate Conference Hall, Turkey. It describes multi-disciplinary, collaborative, agile approach for digital transformation of the agri-food sector based on the IoF2020 and SmartAgriHubs project. It describes several examples of IoT and Big Data applications from those projects,
The video and voice-over of this presentation can be found at https://youtu.be/wYJVqh6jvSE
APPLICATION OF BIG DATA IN ENHANCING EFFECTIVE DECISION MAKING IN AGRICULTURA...Sjaak Wolfert
The agriculture production system increasingly becomes data-driven and data-enabled based on the cyber-physical management cycle. This paper describes several IoT-applications of the EU-funded IoF2020 project in which data and data-sharing plays a crucial role. It provides an integrative framework aiming at cross-fertilisation, co-creation and co-ownership of results. Technical integration, business support and ecosystem development are key mechanisms to realize this.
The SmartAgriHubs project enables a broad digital transformation of the European farming and food sector. With a €20 million budget co-funded by the European Union, the project aims to build an extensive pan-European network of Digital Innovation Hubs (DIHs). The project starts today on November 1st, 2018. This presentation describes the project's objective and method that is used to reach these objectives.
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.
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.
Guidelines for governance of data sharing in agri foodSjaak Wolfert
Big Data is becoming a new asset in the agri-food sector including enterprise data from operational systems, sensor data, farm equipment data, etc. Recently, Big Data applications are being implemented to improve farm and chain performance in agri-food networks. Still, many companies are refraining from sharing data because of fear of governance issues such as data insecurity, or lack of privacy or liability, among others. To overcome such barriers for developments with Big Data, this paper aims at: 1) analysing governance issues in agri-food networks, and 2) introducing a set of guidelines for data-sharing. Based on a literature review, a framework for analysing agri-food networks was developed, with internal governance factors (efficiency, effectiveness, inclusiveness, legitimacy & accountability, credibility and transparency) and external governance factors (political, economic, social, technological, legal and environmental factors). The framework contributes to development of a set of draft guidelines. Accordingly, for each factor, the guidelines address issues, best practices and lessons learned from other projects and initiatives. The approach developed in this paper creates a baseline for possible future developments of Big data in terms of 1) upscaling of the guidelines at a global level, 2) refining and fine-tuning of the guidelines for context specific agri-food networks, and 3) contributing to solving governance challenges in data sharing. In the future, the relevance of Big Data in the agri-food domain is expected to increase, and so are the contributions of this approach.
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.
Keynote IoT in Agriculture opening academic year CIHEAM ZaragozaSjaak Wolfert
Keynote presentation for the opening of the academic year at CIHEAM institute for Mediterranean agricultural research in Zaragoza. It is about how IoT and Big Data are transforming Agriculture in Europe and what the main challenges are: governance, business models and open infrastructures. This is illustrated from several use cases in the Internet of Food and Farm 2020 (IoF2020) project.
3. In 2025 zijn DATAstromen....
... net zo
belangrijk als
GELD- en
GOEDEREN-stromen
Dankzij de
stormachtige
ICT-trends
4. De stormachtige ICT Trends:
Location-based monitoring - satelliet en remote sensing
technologie, geo-informatie
Internet of Things - alles is verbonden met elkaar in het
internet (virtualisatie, machine-to-machine, autonoom)
Mobile/Cloud Computing – smart phones, wearables,
inclusief sensors
Sociale media - Facebook, Twitter, Wiki, etc.
Big Data - Web of Data, Linked Open Data
Potentieel voor ondenkbare innovaties!
5. Hoe ziet dit anno 2014 er al uit in de akkerbouw?
6. Ag Equipment: mobile networks
• Tractor and Implement are acting as one network
• Always connected!
Cloud / Internet
7. Existing Advanced Software Apps
• Sophisticated software App(s) on Terminal
• GEOcontrol App for Precision Farming:
• GPS control of machines
• Work at night
• Bookkeeping documentation
• Section Control
• Variable Applications rates
• Task Control: Job and Task Planning
• Data logging
8. Island Solutions
dominate and prevent
optimal development
for farmers
• A lot of ‘Island Solutions’ and standalone initiatives are popping up in
the Ag business;
• AgGateway
• Open Ag Data Alliance
• AgroConnect
• FarmPilot
• 365FarmNet
• Proprietary per Manufacturer (My John Deere, Trimble...)
• Local/Regional solutions
• However: Farmers buy different brands of equipment
• Farmer/Contractor does not know what to choose from…..
• How to safeguard the data and cooperate with other businesses?
9. Smart Farming in the Cloud
Expert systeem
voor Phytophtora Machine reparatie
Cloud
Informatiesysteem
Services
sensors
actuators
data sources
(‘Internet of Things’)
Spuitadvies
Weer
informatie
Perceelsregistratie
Voedselveilgheids
eisen
Lokaal
Infromatiesysteem
mobiele
apparaten
andere
databronnen
Cloud Platform
App store
10. Smart Farming in the Cloud
Expert systeem
voor Phytophtora Machine reparatie
T220: User Front-End (ATOS)
App store
Services
Base Technologies
GENERIC ENABLERS
I2ND
IoT
IoC
IoS
S&T
sensors
actuators
data sources
(‘Internet of Things’)
Spuitadvies
Weer
informatie
Perceelsregistratie
Voedselveilgheids
eisen
mobiele
apparaten
andere
databronnen
T230: App Store (IBM)
T240: B2B Collaboration Core
Cloud
Informatiesysteem
(IBM)
T250: System & Data Integration
Lokaal
Infromatiesysteem
Cloud Platform
Validation
(ATOS)
T260: Operating Environment
(IBM)
T270: Security, Privacy, Trust Framework: SPT (KOC)
T280: Software Development Toolkit:
SDK (ATOS)
11. FIspace App store: gewasbeschermingsadvies
Frans de Boer Ed Expert Overheidsdienst
FIspace platform
Bespuiting
(volgens advies)
Geef
Advies
Goedkeuring
2
3
Vraag
Advies
1
FIspace App
Weer
Informatie
FIspace App
Spuit Advies
FIspace App
Certificatie
product type, etc.
sensor data
Back-End Systemen
Expert Systeem
Wet en
regelgeving
Bedrijfs
Management
Systeem
Sensor Netwerk
op het veld
voorgesteld
middel
advies details
certificering
gegevens
11
vertrouwde partners vertrouwde partners
13. In 2025...
...is een boer, consument, etc. ook ‘onderzoeker’ door makkelijke
analysetechnieken en voorradige data
- via ‘Collectief geïnformeerde besluitvorming’ (zie Louise Fresco)
...zijn veel duurzaamheidsproblemen opgelost met ICT
- (on)duurzaamheid is meetbaar, prijsbaar
- product- en informatie-integriteit is gegarandeerd
- administratieve lasten behoren tot het verleden
...ontstaan niewe ketenconcepten (bv. lokaal voor lokaal,
stadslandbouw)
- Producenten en consumenten zijn direct verbonden
De agri-food NL sector kan hierin wereldleidend zijn!
14. Wat is daarvoor nodig?
Gezamenlijke investering in hardware, kennis- en ICT-infrastructuur
(publiek-private samenwerking: PPS!)
• vb. FIspace platform
Open houding t.o.v. delen van kennis en data gepaard
gaand met:
• Nieuwe verdienmodellen
• Goede afspraken over gebruiksrechten, etc.
Internationale oriëntatie/samenwerking
2 – 3 ECU’s (Electronic Control Units) per werktuig. Tractoren hebben tegenwoordig wel 10-15 ECU’s
Lots of sensors (digital, analog, camera’s….)
Actuators to control
Remote Diagnostics
Always connected to Internet (Internet of Things), either by;
Wireless module on machine
through Tractor gateway
Ik neem aan dat dit al bestaand Apps zijn: Existing advanced software apps als titel ??
Klopt: Dit is de bestaande situatie als inleiding te vertellen dat “slimme” Software een steeds belangrijker en grotere rol speelt.
Kop uitgebreid en lay out aangepast
OK is beter zo en duidelijker!
Verwijderen vanwege lengte presentatie ?
Sjaak wilde persé iets erin over de sensoren ivm de Greenhouse Trial waar ze dat argument ook gebruiken, De nadruk ligt op het feit dat veel van de toekomstige sensoren enorme hoeveelheden nauwkeurige data gaan genereren en die data verwerkt zal moeten worden door een platform als Fispace.