SST Software Mark Pawsey

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1 Manage Data. Harvest Information. SST Software Mark Pawsey Making it work 2016 SST Software

2 Where we Fit Agricultural Data management Company that builds software Started in 1996 Global focus Australia is a small market and every tech company wants to be global! Focus on supporting farm service providers Developing an interoperable agricultural platform SST Software

3 Global Footprint 127,000,000 acres 188,000 farmers 2016 SST Software

4 SST Footprint Australia / South America

5 Study Commissioned by Iowa AgState in 2014 The only company focused purely on data management without a secondary business agenda.

6 OUR PREMISE One day, all B2B activity throughout the entire ag vertical will be influenced by the spatial data of a farm field.

7 TODAY Agronomic data Farmer Crop Consultant Ag Retailer Farm spatial data will soon be utilized in other areas of the ag sector. TOMORROW Crop Insurance Ag Lending Sustainability Traceability Forecasting & Marketing

8 Today SST Software s Digital Portfolio - All interoperable The interoperable platform available to the industry The disruption and innovation opportunities 2016 SST Software

9 SST SOFTWARE & APPLICATIONS

10 Mobility and Field services Offline capable with full powerful GIS and cloud services. Basic agronomy Spray recs Scouting Soil sampling Farm Records Data layers Crop Imagery Yield data Zonal Soil sampling Tissue testing by NDVI Precision agriculture Nutrient surfaces Variable Rate recommendations Iphone app Same features Grower focused communication

11 Machine data integration Yield monitor data Crop NDVI Imagery EM38, Veris Surveys Elevation data Summit has import and export formats built in for most of the major tractor and sensor equipment used on farms. Eg John Deere, Case, Ag Leader, Trimble etc Summit has wireless API connection to cloud accounts for John Deere (MyJohndeere) Raven Slingshot Precision Planting These formats are being API enabled as part of the industry enablement process. Soil test data As applied data (proof of placement) Desktop Software

12 Real time Decision Support Logic engine with automated real time processing Hosts custom logic and IP Decision Support outcomes Surfaces and zones Nutrient recommendations Multi year Yield zones Correlation matrix of yield and soil fertility Profit maps 2016 SST Software

13 Regional Analytics Spatial standardised data allows for aggregation of data and development of meaningful metrics 2016 SST Software

14 SST Products are fully interoperable DATA COLLECTION Desktop Decision support Analytics

15 THE LANGUAGE OF AGRICULTURE

16 agx PLATFORM APIs ENABLING 3RD PARTY INTEGRATION PLATFORM 2016 SST Software

17 3 ways for the ag technology sector to evolve 1 ONE COMPANY PROVIDES EVERYTHING SINGLE SOFTWARE COMPANY DATA COLLECTION NITROGEN RECS SEEDING RECS IMAGERY SERVICES ETC. SERVICE PROVIDER APPROACH ONE

18 DIRECT ONE-TO-ONE API Integration Import unpack - Translate APPROACH Two APPROACH TWO 2016 SST Software

19 2 DIRECT ONE-TO-ONE API CONNECTIONS APPROACH TWO

20 3 ways for the ag technology sector to evolve 3 CENTRAL DATA REPOSITORY APPROACH ANALYSIS DATA COLLECTION LOGISTICS NITROGEN RECS IMAGERY SEEDING RECS Every farmer and service provider has their own secure data cloud vault APPROACH THREE

21 agx API VALUE ADDED PLAYERS PLATFORM Not all featured companies are agx Compliant. Most are actively discussing or working toward compliancy SST Software

22 Hold domain knowledge in one team with over 50% of staff greater than 8 years of employment out Marketplace for apps and services API s to integrate to other systems Administration rights Security embedded in structure Secure Cloud Storage Language/ descriptors Database structure 2016 SST Software agx Structures

23 SPATIAL STANDARDIZATION IS ESSENTIAL FOR INTEROPERABILITY All precision ag data must be standardized and centralized in order to achieve interoperability, commercial services delivery and value SST Software

24 Categories that Define Farming Operations Active Ingredients Additives Additive Description Application Equipment Class Application Equipment Application Method Application Timing Applicator Type Bale Type Beneficials Beneficials Stage Buffer Type Carrier Types Chemical Families Companies Crops Crop Damage Crop Injury Severity Crop Population Time Crop Purpose Direction Diseases Disease Density Disease Stage Fertilizers Formulation Types Fungicides General Weather Ground Cover Growth Stage Groups Growth Stages Growth Regulators Harvesters Harvester Class Herbicides Insects Insect Density Insect Location Insect Stage Insecticides Irrigation Manure Animal Type Manure Application Method Manure Storage Mode of Action Groups Mode of Action Agencies Moisture Nematode Nitrogen Stabilizers Nutrients Nutrient Deficiency Nutrient Symptom Planting Class Planting Equipment Pesticide Injury Symptom Phosphorus Extraction Method Seed Treatments Sensitive Area Signal Words Site of Actions Soil Texture Symptom Severity Tillage Implements Tillage Style Tile Line Description Tile Line Function Tile Line Material Tile Pt Function Tile Pt Type Time Interval Tractors Varieties Variety Traits Weeds Weed Density Weed Stage 80+ Structured Categories 140,000+ Entries of Reference Data 2016 SST Software

25 Localization & Internationalization Common Name Black Pigweed Giant Pigweed Desert Horsepurslane Scientific Name Trianthema portulacastrum Blessed Milk Thistle Varigated Thistle Cardo asnal (Portuguese) Silybum marianum 2016 SST Software

26 SPATIAL STANDARDIZATION EXAMPLES BOWTIES IN POLYGON OVERLAPPING FIELD BOUNDARIES MULTIPLE BOUNDARIES FOR THE ANALYZING POINT, LINE & BOUNDARIES SAME FIELD POLYGON INTERSECTION

27 STANDARDIZED HIERARCHY ALL DATA WITHIN SST S SYSTEM IS TIED TO THE G/F/F HIERARCHY SO THAT DATA KNOWS WHERE IT BELONGS. 01 GROWER Who farms the land? 02 FARM How are the fields grouped together and managed as farms? 03 FIELD What is the individual field and data layers associated to it? 2016 SST Software

28 STANDARDIZED SECURITY ALL DATA WITHIN SST S SYSTEM IS TIED TO USER-BASED PERMISSION SETTINGS TO PROTECT DATA FROM UNAUTHORIZED USE. 01 ADMINISTRATOR 02 EDITING RIGHTS 03 VIEW ONLY 04 NO ACCESS 1 Grower SST Software

29 Digital Disruption = Social Disruption Previous experience Individual perception of value Organisational values and goals Opportunity identification Change Management

30 DISRUPTION Models Decision Support Software Supply chain Financial systems Data Trunk Planting Fertiliser Crop protection Soil test Elevation Soil type NDVI Eca Field Infrastructure 20 to 30 data types determine 80% of farm and supply chain value

31 Synchronization with a Central Hub Input suppliers DATA Edit COLLECTION ANALYSIS LOGISTICS Sensors Markets R & D, academia NITROGEN RECS IMAGERY Imagery SEEDING Seeding Tractors RECS rec The cloud vault works with software and hardware from many different vendors APPROACH THREE 2016 SST Software

32 SERVICES Data Service Duck Damage

33 SOIL TESTING Sync integration with both SoilMate and NAA

34 TECHNOLOGY Yield Map

35 TECHNOLOGY

36 TECHNOLOGY Planting Event Yield Map

37 TECHNOLOGY Planting Event Yield Map

38 SUPPLY SIDE MANUFACTURERS agx allows manufacturers to bring their prescriptive algorithms to the central repository and create product recommendations on fields that are delivered to the sales agronomist for approval. As this occurs, the growers data remains within agx and is completely protected. REGIONAL ANALYSIS WITH PRESCRIPTIVE FIELD RECS

39 Small Data becomes Big Data

40 THANK YOU