1. IoT
Farm 2 Mouth
(F2M)
SMART FARMING for Healthy FOOD
Belgrade 2015OKI-DOKI
GROUP

2. Lamia, Jacek, Giuseppe, Vladimir, Milos, Dusan, Krzysztof

3. Healthy Food = Healthy You
Which one is you
F2M

4. Healthy Food supply Chain
Animal and crop farms and fisheries
Storages, warehouse and cold houses
Transport and distribution
Market centers and retail centers
Consumers and
food services
F2M

5. Players in bussines environement
Farmers Gastronomy Manufacturers
ConsumersLogistics
companies
Vets
F2M

6. Healthy Food Solution
SMART
Logistics
SMART FARMING =
Devices + Application
SMART FOOD
Awarness
IoT
Farm 2 Mouth
(F2M)
F2M

7.  Quality control for farmers, gastronomy, shops and consumers.
Project scope
 Care for environment
 Promotion of healthy foods
 One cloud platform for whole lifecycle between farmer to consumer FARM2MOUTH
 Application accessible between existing business partner
 Unification and visualization of process between all players,
 Certification possibility
F2M

8. What is F2M?
SMART FARMING - Sensing , monitoring controlling and managing the farm
- Animals healthcare supervision
- Useful reports
- Marketplace for farm products
SMART Logistics - Fast transport – are the products fresh?
- Prediction of food transportation needs
- Ordering proces between farmers and gastronomy/shops
SMART FOOD
Awareness
- Better Quality and healthy FOOD produced on farms
- Knowledge's about where and how our food comes
- Promoting restaurants/shops that have fresh and healthy products
F2M

9. Devices
Soil moisture
Temperature
Humidity
Wind
Rain
Weather conditions
Motion sensorsLight
Air polution (dust and polution gases)
Sensors
Electric valves
Lights
ActuatorsElectric switches
Cameras
Other
RFID tags for animal identification and monitoring
Drones
F2M

10. Business model
6. Free for consumers!!!
1. One time fees from farmers
 Devices
 Customization
2. Monthly fees from farmers
 3 levels depending on functionalities and/or size of a farm
3. Transaction commission (marketplace)
4. Payments for visibility and positioning on the portal from:
• Shops
• Gastronomy
• Food manufacturers
5. Advertisements (for example fertilizer producers)
F2M

11.  Do not aim at healthy food promotion
Competition
 Low number of cloud solutions
 Not much of IoT usage
 Only farm management - do not
cover whole supply chain

12. SWOT analysis
STRENGHTS
• Covers all supply chain from producers to
consumers
• Innovative and advanced technology
• 6 target groups
• Innovative business model
WEAKNESSES
• Too much technology
• Too complex system - will require a lot
of marketing effort
THREATS
• Competition my appear
• Systems that cover partial areas of
interest are available on the market
• Is the market ready to pay?
OPPORTUNITIES
• Healthy food is becoming an issue for society
• People want to be healthy and look good
• Farmers will need support in order to improve
their efficiency
• A chance to differentiate for farmers, shops,
food producers and gastronomy
SWOT

13.  In IoT era there is a strong proliferation of platforms to manage things
 Platform focused too often on the hardware, protocols, APIs, and technical aspects
 Functionalities are fixed at the design time BUT needs evolve along the time
 New customers needs require requests for new functionalities = new customer investments
 We propose a flexible IoT platform that:
 Follows new user requirements along the time
 Allows end users without skills in computer
programming to ‘develop’ new parts of platform
A flexible platform

14. High-level customization
End users can exploit visual mechanisms to customize
platform to provide different environments to each
stakeholders (farm employees, veterinary, etc.):
 Functionality
 Widgets
Deep-level customization
End users can exploit visual mechanisms to add domain specific knowledge not available in the
platform at design time, to create new:
 Alerts (e.g. IF sensor#1.temperature > threshold THEN alert admin)
 Behaviors (e.g. IF sensor#2.soil_humidity < threshold THEN turn on sprinkles)
 Widgets (plot sensors data on a specific visualization like map, graph, time series, etc.)
 Mashups with external APIs (e.g. wheatear forecasts, Google Drive, Google Maps, social networks, etc.)

15. F2M
Live DEMO
-Running prototype with few sensors
-Can be integrated with SocIoTal and IoTLab
-Installed on Microsoft Azure

16. F2M