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Tim Stombaugh Biosystems and Agricultural Engineering Describe different types of data Understand the current state of the ag big data industry Be able to help other farmers navigate the big data world Large Data Sets ◦ Require unique analysis techniques Variety Velocity Patterns, trends, and associations Machine Data Production Data Telematics Performance (Outputs) ◦ yield, moisture, oil content, protein, runoff/leaching Management (Inputs) ◦ inputs, scouting, field management, machine data Environmental (Stuff I can’t change) ◦ weather, soil type, slope, field boundary issues Economic ◦ prices, interest, taxes, loans, insurance, capital Human Resources ◦ wages, reliability, efficiency, productivity When the machine phones home Connectivity Internet of Things Storing data on a server somewhere That server does the computation Accessibility ◦ Multiple points ◦ Multiple users Security ◦ Back-ups Fleet Management Secure Storage Data Access – prescriptions, yields, Data analysis Prescription Generation Performance Real-time adjustments Management Market leverage Environmental Economic Telematics common ◦ New machines connected ◦ Remote access ◦ Fleet management ◦ Data access (prescriptions, yield data, etc.) Data mining from machine data Basic data processing Prescription generation Farmers Landowners Neighbors Service Providers SP Competitors Input Suppliers Machine Mfgrs. Buyers Regulators Watchdog groups Investors Consumers Value of data? Examples ◦ Machinery companies ◦ Chemical companies ◦ Buyers ◦ Watchdog groups Models: trading analysis tools for data Metadata Connectivity Data ownership Data access Think beyond production practices Long-term impacts Data that describes the data Adds to value of data Critical to interpretation Cellular coverage Data plans Internet bandwidth Cloud storage facilitates multiple access points Ownership must be considered in contracts Fine print/implied Accessibility if changing providers More of a business model New terminology ◦ Work Orders ◦ Receivables ◦ Inventory Efficiency More than marketing (selling) product Sustainability of management strategies Risk nutrientstar.org What is ag big data? How is it being used? What is its potential? How are farmers going to have to respond? Tim Stombaugh Biosystems and Agricultural Engineering