Lessons in Big Data InfoAg Conference July 18, 2018 M A I N S T R E E T D ATA . C O
VALIDATE INNOVATE INNOVATE VALIDATE
W H O I S M A I N S T R E E T D ATA • Strong advocate for data analytics in agriculture • Independent • Credible • Collaborative • Pro-Partnering
A P O W E R F U L PA R T N E R S H I P
T H E K E Y T O A C C E L E R AT I N G A D O P T I O N I S VA L I D AT I O N A N D T H E K E Y T O VA L I D AT I O N I S B E N C H M A R K I N G
S E V E N + Y E A R H E A D S TA R T C R E AT I N G T H E L A R G E S T S O U R C E O F C L E A N “ G R O U N D T R U T H ” Y I E L D D ATA I N T H E U . S . Main Street Data TEST PLOTS 1.3B SCOPE SCALE QUALITY The Most Accurate and Objective Primary Data Set 1 BILLION UNIQUE MICROFIELDS 10,000 5,100 Leading Agribusinesses
T H E H I G H E S T Q U A L I T Y Y I E L D D ATA S E T • Proprietary Fleet of over 300 Combines Rotating to ~ 800 Customers per year in 26 States • More than 7 Years of Data Collected, Using Verizon’s Data Network • Focused on Corn, Wheat, and Soybean Crops • This method of highly controlled data collection at scale will not be replicated PROPRIETARY DATA COLLECTED FROM MANAGED COMBINE FLEET
T H E M A G N I T U D E O F O U R Y I E L D D ATA B A S E I S VA S T A N D C O L L E C T E D I N R E A L - T I M E 5 ft. Over 7 million acres of Every yield 1.3 billion unique 30 ft. real-time yield results observation is micro-fields yield, from a managed fleet of validated and weather, soil and Data captured over 300 combines calibrated topography every second which which which which Is 1.3 billion unique Makes the MSD Are used to create the Is every 150 micro-fields that passed yield database the MSD yield square feet of a quality assurance largest and most benchmarks & field accurate yield Validator database available
U N M AT C H E D Y I E L D D ATA P R O C E S S D E L I V E R S D I F F E R E N T I AT E D M O D E L Q U A L I T Y Y I E L D D ATA + A B I L I T Y T O I N J E S T A N D C L E A N N E W D ATA S E T S vs. Unmanaged Data Collection Managed Data Collection Random Combines Managed Fleet Difficult to Get Farmers to Provide Data, No Highly Controlled Logistical Operation, MACHINERY Control Over Equipment Condition or Including Inspection and Adjustment of Key Maintenance Equipment Components Manual Precise CALIBRATION Complicated, Manual Process Processes to Correct for Unplanned Operator and PREPARATION That Is Prone to Setting Errors Adjustments and Maintain Calibration Unsupervised Supervised DATA COLLECTION Different Manual Processes Making Remote Monitoring of Combine Fleet and and MONITORING Consolidation Difficult and Causing Errors Yield Through Cell Network None Rigorous QA No Way to Tell What Data Is Corrupted Industry Leading Control of and VALIDATION vs. What Is Valid Data Quality Assurance
T H E M A I N S T R E E T D ATA P R O P R I E TA RY A N A LY T I C S P L AT F O R M I S B U I LT O N F O U N D AT I O N A L D ATA A N D S C I E N C E , A N D I S S C A L A B L E I N T O T H E F U T U R E UNIQUE MICRO-FIELD (150ft 2 ) SIGNATURES YIELD PATTERN IDENTIFICATION Proprietary methodology builds meaningful HYBRID REGRESSION MODELS environmental and climatological layers, which are paired with yield data to understand yield outcomes Proprietary Soil Index Proprietary Harvest Index YIELD DATA ANALYSIS Proprietary Field Index Data science engine analyzes 1 billion unique micro fields of data to develop yield benchmark BILLIONS of DATA ELEMENTS PROPRIETARY YIELD PUBLIC DATA COOP DATA DATABASE (20 Yr. (Drought (20 Year (Soil (Precipitation, History, Monitor, Moisture Index) Temperature, (New Yield + Farming Daily 10-Day Crop Index) Growing Days) Yield Data Captured from Managed FleeT Forecasts) Progress) Practice Data)
M A I N S T R E E T + G I S C E X PA N D & E N H A N C E R I C H D ATA & R E A L S O L U T I O N S Main Street Yield Database: Yield data captured from managed fleet GISC Data: Main Street Field Database: Data collected through Proprietary analysis and GISC members will provide methodology used to build rich source of not only environmental and yield data but also on climatological layers, which are farming inputs and paired with yield data to create practices that will allow unique Field Database MSD and GISC to expand Main Street Yield Benchmark: and enhance Data scientists analyze 1.3 benchmarking and billion unique micro-fields of validation into the future . data to develop yield benchmark Foundation Future
C O M I N G S O O N : M A R K E T V I S I O N C U S T O M I Z E D A N A LY T I C S F O R L O C A L G R A I N M A R K E T I N G • Easy-to-use analytics tool that informs management and grain marketing decisions to increase profit potential real-time • Sold to Growers, Land Owners and AgriBusiness
VA L I D AT O R I S L I V E S T O P B Y B O O T H 1 5 6 F O R A D E M O
Thank you RON LEMAY CEO MAIN STREET DATA 15
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