Data Management/Big Data at the Farm

Transcription

1 Data Management/Big Data at the Farm John Fulton 2016 South Dakota Agronomy Conference, Sioux Falls, SD

2 Trivia on Technology Adoption Average Smartphone checked 160 times /day 120M Monthly 80% of US Homes Zillowed Each Minute 347,222 Tweets Each minute 300 Hrs of New Video Uploaded Each minute 51k APPs Downloaded 1/3 rd of all downstream Internet Traffic

3 Agriculture / Farm Connectivity Image courtesy of New Holland

4 Precision Ag Evolution Today & Tomorrow - Digital Agriculture - Electronic drives versus mechanical and hydraulic for metering inputs - Automating machinery M2M, M2I - Prescriptive Agriculture data driven o Data Integration - Agronomic, machine and imagery data - Digital merger of agronomy-technology-business

5 By-row Prescription (Rx) Hybrid Population Starter & pop-up fertilizer Downforce Row-cleaner Rx Management

6 Types of Data 1) Agronomic yield, as-applied, as-planted, etc. 2) Machine (CAN) engine parameters, tractor status variables, implement mode & functions - CAN can also provide agronomic data 3) Production - Information within home office, weather, notes, etc. 4) Remote Sensed Imagery

7 Agronomic Data Yield Maps, As-applied As-Planted Data

8 Machine Data CAN messages, Health, etc. Effective tool to evaluate operating costs and capacity --- FUEL USAGE, UPTIME vs. DOWNTIME, ENGINE LOAD.

9 Bridging Agronomic and Machine Data Big Data - Accelerate learning through new analytics and thereby earlier selection of favorable economic response. Moisture Content (%) Ground Speed (mph) Fuel Usage (gallons per acre) Mean % Engine Load Mean Field Capacity (ac/hr) Hybrid A Hybrid B

10 Changes in 2020 with Technology Connectivity - Cloud technology a standard (high volume of data) - APPs driving interactions and data capture - Automated data collection through enhanced tools o Live population, seed spacing, growth stage o Smart sampling - Integrated ERP + FMIS + Digital Tools Decision support toolbox o Agronomic + Machine data + Imagery o Fertility tools more mature (still requires a person for decision making) o Aggregated benchmarking - Data accessibility portability sharing???

11 Digital Agriculture Enterprise Agriculture Big Data in Agriculture Prescriptive Agriculture Precision Agriculture Based on information from an Iowa AgState / Hale Group report.

12 Data Exchange for Growers Producer Recommendations Data will need to move through multiple organizations and each organization will need different data sources. Preseason Fertility Management Prescription P and K application (Precision Crop Services) Tillage Management Prescription tillage maps (AGCO; CNH) Multi-Hybrids Prescription seeding of multi-hybrids (Beck s; Pioneer) SCN Management Prescription application/use of nematicides (FMC) In-Season Fertility Management Prescription N application (DuPont Pioneer; Climate Corp) Irrigation Management Prescription Irrigation (AgSmart) Disease Management Prescription fungicide application (BASF)

13 BIG DATA in Agricultural Production Refers to the use of technology and advanced analytics for processing data in a useful and timely way. Big data may significantly affect many aspects of the agricultural industry, although the full extent and nature of its eventual impacts remain uncertain. Public-level big data represent records that are collected, maintained, and analyzed through publicly funded sources. Private big data represent records generated at the production level and originate with the farmer or rancher. Source: US Congressional Research Service Big Data does not exist today in crop production but both ag and external to ag companies are building components to enable.

14 Internet-related services and products Founded 1998; Menlo Park, CA Mission: to organize the world's information and make it universally accessible and useful. Revenue: $66 billion (2014) Net Revenue: $14.4 billion (2014) $502 Billion Market Capitalization Google processes over 3.5 Billion searches PER DAY Estimates of 530 Million Gmail users worldwide 2 High-use Data Services - Gmail - Google Search

15 Internet-mobile app allowing consumers to submit and secure trip requests. Contracts with individual car owners to provide cab services Founded: March 2009, San Francisco, CA Goal: connecting riders to drivers Privately Held: Estimated 2015 worth $62.5B

16 New Age Data Business Models Refer to Users not Customers Income generating operations are unclear or kept offline Basic model relies on data being fed in to the system at zero cost There is no revenue sharing intended back to the providers of data - Free Clients - Free Web Browsers - Free Search Engines - Free Social Media Site

17 Smart Fridges! Track consumption Deliver consumer offers Manage purchasing and replenishment Manufacturers extract subsidies from companies in order to tap into data and the revenue stream of each consumer, then provide them with a free refrigerator.

18 Connecting Farmer Data and Transactions within the Ag Ecosystem

19 Connected machines / implements. Now, connecting the field

20 The Connected Machine Food, Agricultural and Biological Engineering

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22 EXAMPLE Data Storage and Sharing Food, Agricultural and Biological Engineering

23 The Value of Information is Changing. Do not ignore the mountain of real-time data being generated / collected. Other new applications using farmer data are emerging. Commit to learning more. Commit to being better more competitive & improving your profitability!

24 Digital Agriculture Providing solutions to meet world demand John Fulton Ohio State Precision Ag Program Facebook: Ohio State Precision Ag