1. overview open data big data what is generating big data? intersection of open data, big data and...
TRANSCRIPT
1
Overview
• Open Data
• Big Data
• What is Generating Big Data?
• Intersection of Open Data, Big Data and Open Government
• Data Driven Agriculture• Value of Precision Ag Data
• Precision Ag and Big Data– Decision Support for Farmers
– Farmer Profitability Strategy
• Questions
2
Open Data• USDA is a large Federated Agency, consisting of 12 Administrative
Offices and 17 Agencies, with over 100,000 employees; with varying missions.
– Food Safety Data – Food Nutrition Data – Crop Insurance Data – Farm and Foreign Agricultural Service Data – Rural Development Data– Marketing and Regulatory Data – Natural Resources and Environmental Data– Administrative and Statistical Data
• To date, the Enterprise Data Inventory (EDI) consists of 721 datasets (568 Releasable to the Public and 153 non releasable, 79 APIs)
• Our goal is to increase the number of “high-value” datasets in the coming months
• USDA continues to be “Green” on the Federal Open Data Dashboard• To improve USDA data to our customers, we continue to engage the
public by: – Participating in Civic Hackathons
• Chicago, Baltimore and NC North Carolina• Women and Girls Hackathon in Ventura, California (Jan 2016)
– Improving customer feedback mechanism in Data.gov 3
“My Administration is committed to creating an unprecedented level of openness in Government. We will work together to ensure the public trust and establish a system of transparency, public participation, and collaboration. Openness will strengthen our democracy and promote efficiency and effectiveness in Government.”
— President Obama, January 21, 2009
Big Data• The Value of Open and Big Data:
– Create the next major technological “sea change” in agriculture
– Enables the public to source, supply and consume it with better outcomes
– Innovators and inventors can build stuff that matters and build stuff that works
– Unlock more value in the existing data market and the potential to create a new line of businesses
• Census Find It, Connect It (FINCI) Project– Developed a pilot using USDA and Census data to determine
the economic impact of a flood on Consumers
– Explored methods to create a common set of standards that could be used across the federal government
• Census Bureau - City Software Development Kit (SDK) Project
– Unlocking the value of open data to promote economic growth, fuel innovation and entrepreneurship
– Enabling cities and counties to use data to deliver tangible and transformative results for their communities
– Provided a ready-to-use meshed USDA and Census Data Application Programmable Interfaces (APIs) s for developers (ie. Hackathons)
4
5
Sensor Technology and Networks (measuring all kinds of data)
Scientific Instruments(collecting all sorts of data)
Mobile Devices(tracking all objects all the time)
What Is Generating Big Data?
6
Intersection of Open Data, Big Data and Open Government
Data-Driven Agriculture• Data-Driven, or “Precision” Agriculture is the use of big data to supplement on-
farm precision agriculture—meaning having the right farm data at the right time to make better decisions to improve long-term profitability.
• Precision Agriculture provides farmers, ranchers, and producers with key decision points using various data, such as planning, pre-planting and planting, in-season, and harvest data.
• Multiple Federal agencies produce data that are used by companies and individuals adopting precision agricultural practices, including:
– United States Department of Agriculture (USDA)
– Department of Interior (DOI)
– Department of Commerce (DOC)
– National Aeronautics and Space Administration (NASA)
• To enhance the adoption of data-driven agricultural systems for increased productivity, including providing strategic direction and leadership to advance Precision Agriculture efforts in the US, data driven agriculture is currently being added to the Open Government National Action Plan 3.0 as part of the Global Open Data for Agriculture and Nutrition (GODAN) initiative.
• The creation of an additional GODAN work group with a focus on improving data availability for and global adoption of precision agriculture practices will be created to address data to advance data-driven agriculture in the public and private sectors.
• The Precision Ag GODAN Working Group is under development and pending adoption by the GODAN partners. 7
What is Precision Ag?
8
• The holy grail of agriculture research which will be the ability to define a Decision Support System (DSS) for whole farm management with the goal of optimizing returns on inputs while preserving resources.
• Allows farmers to provide customized attention to their fields.
Precision Ag?
• Precision Ag, also referred to as Site Specific Management (SSM) - a set of technologies to manage agricultural inputs based on variation of physical, chemical, and biological factors that impact the yield potential in a field.
• Made possible by Global Positioning Systems (GPS) and Geographic Information Systems (GIS).
• Variation in plant growth based on soil properties: slope, aspect, texture, organic matter, exchange and water holding capacity, pest population.
• Soil properties generally vary on the scale of 10-20 m, so there are many different zones within a single field where the crops have different requirements.
• Decision support system for in-season management based on information directly from the crops and an estimate of future needs
• Satellite remote sensing is rarely used in precision agriculture !! (not from lack of trying).
9
Making the link between
On-Farm Optimization• Data-based decision-making for many more decisions• Early problem identification for management response• Custom solutions optimize inputs to achieve production goals
(yield and quality) dependent upon market demands Input Product Innovation for Unique Conditions
Value Generated by Ag Big Data
• Biotech / seed research• Equipment R&D• Management Strategies Analysis &
Decision Support
Market Linkage
• Improves transparency and predictability of markets
10
Value of Precision Ag Data
11
• Big data is associated with Precision Ag, but is much larger than on-farm data alone:– On-Farm Precision Ag
• Fertilizer, planting, crop protection
– 3rd Party Data• Weather, satellite / aerial imagery, soil
fertility, topographic data
– Research & Development• Academic / Land grant data, biotech
and equipment company publications, software and analytics, and Government (ARS data)
– Commodity Markets • Local, regional, global
Precision Ag and Big Data
Enabling Farmers to Make 40 Critical DecisionsCritical Decision Sets:
SeedFactors
• Seed is lynchpin decision – key to establishing yield potential
Planting Factors•Focus on best field configuration, preparation and planting elements
Pest-Control Factors
• Focus on insect, weed, and disease control regimes
In-Season Decisions•Diseases, nutrient, etc. approaches based on in-field environment
Goal: Maximize
Net Return Per Acre
Productivity Tools:
Planning Data
• Seed Selection
• Weed- Control Program
• Pest Pathogen- Control Program
Pre-Planting Data
• Fertility Program
• Tillage Program
Planting Data
• Plant Population Dynamics
• Seed Depth
• Timing
In-Season Data
• Post- Emergence Pest Control
• Crop Diagnostics
• Quality & Market Factors
Harvest Data
• Equipment• Crop
Marketing
12
Decision Support for Farmers
Whole Farm Profitability Services
Examples of Current Services Offering
Pioneer FarmerProfitability Strategy
• Field-by-field crop plans• Planting maps• Harvest maps• Crop insurance• Financial services• Grain marketing
Tools to deliver additional insights for advanced farmer profitability.
Harvest / Evaluate
Plan
PlantMonitor
13
Farmer Profitability Strategy
Precision Ag Delivers…
14
Questions
15
Ms. Joyce HunterDeputy CIO for Policy and Planning
Mr. Bobby JonesUSDA Senior Advisor to the
Deputy CIO for Policy and Planningand
Acting Chief Data Officer202-690-4305
Points-Of-Contacts