Smart automation smart farming: the challenges of Digitalization and Big Data from the John Deere Perspective
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1 Smart automation smart farming: the challenges of Digitalization and Big Data from the John Deere Perspective Christophe Gossard, Strategic Standards Manager for Europe
2 Content Challenges for Agriculture The Journey of Integrated Solutions How did we succeed? Cloud-based Connectivity / Farming 4.0 Summary 2 C. Gossard Smart Automation Smart Farming IEEE - May 2017
3 Challenges for Agriculture 3 C. Gossard Smart Automation Smart Farming IEEE - May 2017
4 Challenges for Farming Industry Limited Ressources Land Water Nutrients People Population Growth Diet Digitalization (Smart Farming) 4 C. Gossard Smart Automation Smart Farming IEEE - May 2017
5 Guiding Principles for Agricultural Technology More with less Independence 5 C. Gossard Smart Automation Smart Farming IEEE - May 2017
6 Agricultural Technologies Megatrends? Sustainability Automation and autonomous operation Reliability 6 C. Gossard Smart Automation Smart Farming IEEE - May 2017
7 Digitalization / Smart Farming Use of modern automation and information technology to increase the productivity and efficiency of modern farming in a sustainable way with minimal impact on the environment 7 C. Gossard Smart Automation Smart Farming IEEE - May 2017
8 The Journey of Integrated Solutions 8 C. Gossard Smart Automation Smart Farming IEEE - May 2017
9 The Journey of Integrated Solutions 3. Smart, Connected Product 5. System of Systems 2. Smart Product 1.Product Product System 2. Smart Product 3. Smart, Connected Product Farming Product C. Gossard Smart Automation Smart Farming IEEE - May 2017
10 Telemetry as Basis for Smart Digital Farming 10 C. Gossard Smart Automation Smart Farming IEEE - May 2017
11 Agricultural Technologies Megatrends? Sustainability Automation and autonomous operation Reliability Electrification? 11 C. Gossard Smart Automation Smart Farming IEEE - May 2017
12 Why Electrification? John Deere High-power electric tractor (SESAM) Efficiency Controllability and dynamic response behaviour Using Renewable Energy 12 C. Gossard Smart Automation Smart Farming IEEE - May 2017
13 Agricultural Technologies Megatrends? Sustainability Automation and autonomous operation Reliability Electrification Internet of (almost every)thing(s) and services 13 C. Gossard Smart Automation Smart Farming IEEE - May 2017
14 How did we succeed? 14 C. Gossard Smart Automation Smart Farming IEEE - May 2017
15 Systems Cloud & External Sensor Systems E/FRP MES (AES) Workshop level Process Control System Controller Level Sensor / Actor Level!! Adaptive Agricultural Production Systems providing technical intelligence (such as self optimisation) self reconfiguration defect compensation / zero defect operation 15 C. Gossard Smart Automation Smart Farming IEEE - May 2017
16 Development of Farm Management System Vehicles order fuel spare parts, transfer trailers Dispatcher is informed about approaching thunderstorm and can trigger new optimization criteria Central system calculates routing on field and road. 16 C. Gossard Smart Automation Smart Farming IEEE - May 2017 Source: Hahn (modified)
17 Operation Center User Interfaces Farmer / Contractor Messages, proposes execution plans Adjust & select new plans Event Farm Management System Services in the Cloud Service 1 Service 2 Service 3. External or Distributed Services 17 C. Gossard Smart Automation Smart Farming IEEE - May 2017
18 Current framework for IoT as a standardization point of view There are already more than 600 closely related standards in the IoT area It is essential to first clearly map all relevant standards to help manufacturers of agriculture equipment and innovators and standard setters navigate this complexity The agriculture sector has already done this effort 18 C. Gossard Smart Automation Smart Farming IEEE - May 2017
19 IoT SDOs and Alliances Landscape (Vertical and Horizontal Domains) Home/Building Manufacturing/ Industry Automation Vehicular/ Transportation Healthcare Energy Cities Wearables Farming/ Agrifood Open Connectivity Foundation AIOTI Open Automotive Alliance AIOTI AIOTI AIOTI AIOTI AIOTI AIOTI AIOTI AIOTI NB-IoT Forum Source: AIOTI WG3 (IoT Standardisation) Release 2.5 Horizontal/Telecommunication 19 C. Gossard Smart Automation Smart Farming IEEE - May 2017
20 AEF Standardized Vehicle Communication Interface 20 C. Gossard Smart Automation Smart Farming IEEE - May 2017
21 Example of inter-connectivity o 21 C. Gossard Smart Automation Smart Farming IEEE - May 2017
22 Cloud-based Connectivity Farming C. Gossard Smart Automation Smart Farming IEEE - May 2017
23 Cloud-based Connectivity 6030 & 6R Tractors MTG in base machine since 2012 > W235 Windrower Ag machines with cellular modem 7760 Cotton Picker S, T, W Series Combines 7030 & 7R Tractors John Deere Operations Center 8030 & 8R/RT Tractors 7050, 7080 Forage Harvesters 9030 & 9R/RT Tractors R4030, R ,4730, Sprayers 23 C. Gossard Smart Automation Smart Farming IEEE - May 2017
24 MyJohnDeere Operation Center 24 C. Gossard Smart Automation Smart Farming IEEE - May 2017
25 Cloud-based Connectivity Through API Standardization Seed Chemicals Weather Consultants Food Processors Food Retailers 25 C. Gossard Smart Automation Smart Farming IEEE - May 2017
26 Precision farming mottos for John Deere Precision Farming and, in particular, Smart Farming, requires compelling multidisciplinary cooperation between different disciplines John Deere will be a successful player in Precision Farming-based agricultural production systems in the future Precision Farming not only contributes to efficiency and efficiency, but also to increasing social acceptance of agricultural production Technology within in precision farming must not be selfsufficient in precision farming, but technical possibilities must be aligned with human needs and heterogeneous process requirements 26 C. Gossard Smart Automation Smart Farming IEEE - May 2017
27 27 C. Gossard Smart Automation Smart Farming IEEE - May 2017 Summary
28 Summary Digitalization in agriculture will play a key role to address the needs for food of our growing population in a sustainable way We are already in the middle of the digitalization of Agricultural machinery Safety and security have to be properly addressed More and more players provide services and offer big data based prescriptions. This will foster the adoption of smart farming Smart Farming can only be successful with cloud-based seamless data exchange and partnering of the companies in the value chain 28 C. Gossard Smart Automation Smart Farming IEEE - May 2017
29 Questions?
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