SmarterAgriculture

VidarSvendsenAnalyticsClientArchitectIBMAnalyticsVidar.Svendsen@no.ibm.com

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agenda

• IBMssatsningerpåjordbruk• HåndteringavBigDataiverdikjedenmat– hvilkeløsningerfinnes?• Kunstigintelligenssometverktøyforåøkeverdienavinnsamlededata,

hvamåtilforatnorskjordbrukutnytteregnedataogdatapåtvers?

• metode

AgronomicsBigDataAnalytics

PrecisionAgriculture

AgricultureSupplyChainSolutions

PreventiveFarmAssetMaintenance

FoodSafetyandTraceability

MarketplaceAnalytics

SmarterCropInsurance

SustainabilityCalculator

IBM is innovating data-driven insights across the Agriculture value chain

AgricultureInsight-as-a-Service

§ The United Nations forecast that the world population will increase from 7.4 billion to 9.6 billion by 2050, with the largest growth projected in developing countries including India, China and Africa

Historical & Forecasted World Food Consumption (1980–2040)

§ The increase in population, coupled with higher levels of prosperity in developing countries, will drive significant shifts in the types and quantities of food consumed

The Productivity Challenge: Food Consumption in Terms of Required Cropland

Area

United Nations World Population Projections

Source : Food 2040 – The Future of Food and Agriculture in East Asia, 2011

Source : United Nations World Population Prospects, 2012 Revision

§ To address the forecasted food consumption either an additional 270 million hectares of argicultural land will be required or government and commercial investments in biosciences, infrastructure and technology must be dramatially increasedSource : Food 2040 – The Future of Food and Agriculture in

East Asia, 2011

Food Security and Safety is the Number 1 Priority of The United Nations

ProductivityChallenge

Current Consumption Trends and Production Output Projections Depict Considerable Global Market RisksBetween Supply and Demand

5

IBM has a deep toolset and experience in key technologies

Analytics for Smarter Decisions Smarter, Greener Agriculture

Equipment & Supply Chain Management Knowledge Sharing

• Improvedecisionsandoperationsthroughmoreaccuratehyper-localweatherpredictionandreal-timebusinessanalytics

• Trendidentificationviastructured&unstructureddataanalysisfrommultiplesources

• Faster,easiervisualizationofanalyticresults

• Improveenvironmentalimpactandreducecostswithsmarterwaterandenergymanagement

• Leveragestate-of-the-arttoolsforbetterlandmanagement

• Exploitsensornetworkstooptimizeoperations• IBMisalsoinfluencingpolicyandhelpingredefinemanycountries’ agriculturalpoliciesthroughkeypartnerships

• Maximizeequipmentup-timebypredictingfailuresandoptimizingmaintenance

• Optimizesupplychainsforfinancialandenvironmentalconsiderations

• Exploitsocialnetworkingandcrowdsourcingtoshareknowledge,findexpertsanddeterminebestanswers

• Usevoiceandpicturecommunicationtoimproveagricultureindevelopingregions

A data-driven transformation is occurring in Agribusiness

Data at the edge is changing how we look at information

90%

By 2017

Of data created over the last 10 years was never captured or analyzed

The collective computing and storage capacity of smartphones will surpass all worldwide servers

60%

2X

Of valuable sensory data loses value in milliseconds

Rate of data creation compared to the expansion of bandwidth over the past decade

01 03

HowcanxxxandIBMpartnertoenabledifferentialcapabilities?

StrategicPartnership02

Whatishappeningintheindustry,whatisIBMdoingintheindustry,andwhatarethepartnershipopportunities?

Analytics:ArtofthePossible

- Hand written records – Long hand notes

- Barcodes – Scanning in and out

- RFID tags – Automated readers

- Cellular Modems/GPS devices – Automatically update, time interval

- Equipment tags – Updated as requested

- New Chip Technology – Extreme Ultraviolet Lithography (EUV)

IBM’s IoT Leadership for the Ag Market: Asset Tracking

9

Internet of Things (IoT) - Sources of Data for Precision Agriculture

Internet of Things

Nitrogen Sensors

GPS/GIS Data from Satellites

Drone Sensorand Image

TransmissionsWeather Data Crop Modeling

Environmental Data –temp. humidity, wind, heat units

Soil MoistureSensors

Drip Irrigation Sensors

Pivot Irrigation Sensors

Social Media

Yield Sensors on Harvesting Equipment

ApplicationSensors for Inputs

Seeding/ Planting Sensors

Introductions CHSOverview

Next Steps

11

Analytic Details of Agriculture System Insights

§ Precision Farming Prescriptions–Big geo-spatial and temporal data platform that

can leverage heterogeneous data sources at unprecedented scale

–High Performance Computing, Decision Making Under Uncertainty, Big Data for statistical and physical modeling and dynamic optimization

§ Knowledge Management for Agriculture Insights–Integrating agronomic knowledge extracted from

unstructured data with precision farming prescriptions and agronomic recommendations

§ Agriculture Systems of Insights–Enabling IBM’s position as “trusted analytics

services provider” throughout the agriculture ecosystem

STATISTICAL MODELS

DATA ASSIMILATION

OPTIMIZATION

Big Data and Big Compute

Heterogeneous Data Sources

PHYSICAL MODELS

20000

30000

40000

50000

10000 20000 30000 40000 50000

5.6

5.7

5.8

5.9

6.0Predicted

PRESCRIPTION ANALYTICS

AGRONOMICINSIGHTS

KNOWLEDGE MANAGEMENT

AGRICULTURAL ECOSYSTEM

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Grower Business Planning

Advance Sales

Analysis

YieldPlanning

ProcurementOptimization

MyView

RegulationCompliance

MachineMgt

FarmAlerts

§ Perform geo-reference able soil analysis and access or merge that data with other sources or on other devices

§ Analyze soil to optimize fertility

§ Secure advanced agronomy services

§ Compare year-over-year yield information to improve farm productivity

§ Merge yield data with forecasted supply and demand to improve crop planting decisions

§ Seed selection based on farm analysis

Budget Planner

Bill Pay

InsuranceClaim

Banking

§ Gain access to reliable lenders at fair interest rates in order to sustain farm operations

§ Increase and expand your farm into a more profitable business

§ USDA Programs

Year-onYear FieldPlanning

SoilMgt

AdvancedAgronomy

Soil Erosion

Crop Rotation

§ Capture images to scale of problem areas and share with remote agronomists

§ Get diagnosis and order prescriptions in real-time from device

Crop Disease AppCrop Nutrient App

Growing Degree Unit (GDU) Calculator

§ Get field-by-field crop progress and 14-day forecast

§ Track GDU accumulation on farm and compare total GDUs and year-to-year comparisons

SeasonalWeather

Field WeatherForecast

WeatherForecast

Long-termWeather

DeepThunder

Water Mgt

Climate & Weather

Deep Thunder AppWeather Feeds

§ Secure precision forecast with deep analysis to mitigate risk and plan ahead for weather conditions and impacts

§ Improve understanding of weather to maximize crop yields

MarketWatch Growth Stage

Estimator

GDU Calculator

Yield Estimator

Farm, Field and Crop Management Apps Powered by Analytics help growers make and execute critical farm activities

HarvestingCrop & HealthManagement

Field and SoilManagement

Banking Finance& InsuranceFarm Management

Soil AnalysisMicro-Banking and Insurance App

Farm Planning App

CropProtection

CropNutrients

Dealer/Co-opProducts and

Services

Introductions CHSOverview

Disruptive Innovation –Possibilities

Next Steps

Precision Agriculture Capabilities

CropMaintenance&Fertilizing§ Decisionsaretimesensitiveandweather

dependent

§ Rain=Badtimetofertilizeasrainwashesawayfertilizer

§ NoRain=Goodtimetofertilizeandirrigate

Transportation & Distribution§The logistics of transporting harvested food to distribution centers are crucial to avoid waste

§Goods must be transported at right temperature and kept only as long as needed

Crop Analytics

§ Control centers collect and process data in real time to drive smarter decisions across the crop lifecycle

Planting & Sensing

§Seeds are placed in the ground

§Sensors placed throughout the fields are used to measure temperature and humidity of the soil and surrounding air.

• VariableRateIrrigationSolution• PrescriptiveAnalytics• SensorTechnology(PAIRS)• MobilePlatform- Apple• DeepThunderweatherprediction• TheWeatherCompany• Cloud(Softlayer,BlueMix,PureData)

• GenomeResearch(plants,animals)• BigDataPlatform• SocialAnalytics• SupplyChainVisibility• TraceabilityandFoodSafety

Watering

§ 70% of fresh water consumption worldwide is driven by agriculture.

§ Smarter decisions about watering = big impact,

§ Picturesoffieldstakenfromsatellitescanbecoupledwithpredictiveweathermodeling(IBMDeepThunder)topinpointconditions48hoursinadvanceandmakesmarterdecisionsaboutwateringcrops

13

RawDataWarehousing

DataWarehouseYielddataBoundarySoilSamplesAsAppliedProductInfo.

DataMart

• Agriculturepractices

• Cultivation• GenomicData• FieldTrials• Geospatial• Weather• Traits

DataAnalytics• Yieldbynutrient(soil

tests)valueseedtype• Yieldbyhybrid/variety

bysoiltype• Yieldbyelevation• Yieldbyfertilizer• Yieldbyweather• AdvancedAnalytics

ExternalAgDataSourcesWeatherMachinery dataMapsSensorsSocialNetworksUniversitiesAgribusinessGeospatial

ExternalSystemsFarmManagementSystemsAgplatformsPartnersUtilization%DemandMonitoring

Analytics

BI/Reporting

Exploration

ContentAnalytics

Collaboration

Portal

SocialCollaboration

RealtimeCollaboration

WebContentManagement

DigitalAssetManagement

Dashboards,Visualization

InformationIntegrationandGovernance

DataSecurity SOASecurity

FileTransfer

DataAPIPlatformAPIControl

ExternalandInternalUsersFarmersAdvisorsResearchersAgronomistExtensionServicePrecisionAg.CompaniesAgribusiness

ProductDevelopmentPlatform

UseofWatsonTechnology.Advanced

AnalyticsandCognitive

ComputinginAgriculture

EventRules

DecisionSupportCloudPlatformforAgricultureBigDataandAdvancedAnalytics

StandardizationofData

GatherStructured&UnstructuredData

Clean, manage & make available the usable data

Analytics

Predictive AnalyticsWhat could happen?What if these trends continue?What will happen next if?

Descriptive AnalyticsWhat exactly is the problem?How many, how often, where?What happened?

Prescriptive AnalyticsHowcanweachievethebestoutcome&addressvariability?

Messaging

Mobile

Futureoffarmingwillincludetheintegrationofcropmodels,GISdata,localsoilmaps,weatherinformation,andotherprecisionagriculturetechnology.

Has advanced weather prediction tools likeDeep Thunder

Has advanced Counterfeit and Fraud

Technologies

Innovation that Matters• 18 years of patent

leadership• 12 Labs around the World• 3000 Researchers

An industry leader in Cloud Services

We monitor 13 billion security events every day and have more

than 1,000 researchers and developers working on security

and privacy breakthroughs

Is a leader in the IoT (sensors)

EcosystemIBM is investing $3 billion

to build an "Internet of Things" division

Is the worlds leader in Advanced

AnalyticsIBM has the world’s deepest

portfolio of analytics with 9,000 analytic consultants and 400

researchers.

Has the ability to handle massive amounts of Big Data (high performance computing) and apply the

advanced analytics in ways that are not available

today in the industry.

Is the leader in Traceability solutions and genetics for food

safety

Is the Global Leader in Mobile Solutions

and Social Analytics

(Twitter partnership)

Has industry leading GIS and drone data

processing expertise

Is a leader in the Weather Analytics

businessThe Weather Company +

IBM Cloud + IBM Analytics and Expertise

Is the industry Leader in Supply Chain Analytics& Optimization

Has the largest private research organization in

the worldIBM Research

Has exclusive Watsonand cognitive computing

technology

IBM’s Smarter Agriculture uses advanced research and an extensive inventory of assets to delivery robust solutions across the global agricultural ecosystem

15

Our strategy

A New Platform A New Ecosystem A New MethodBuilt on Apache Spark.

Add composable, hybrid-cloud services.

Add intelligence to accelerate insight.

Deliver self-service for all user types.

Meet our best-in-class partners and their open source-based services

that are part of the open platform. Potential

partners: Get certified!

Understand what works and what doesn’t work

in getting value from data. Get started fast.

Get business value right away.

The IBM Watson Data Platform

Open StandardsCommunity Accepted

Trusted PartnersThe IBM

DataFirst Method

Making data simple and accessible to everyoneWatson Data Platform

DataScienceExperienceBluemix Watson

Analytics

UserExperiences

Personas

DataEngineerAppDeveloper BusinessAnalystDataScientist

StoreIngest DeployAnalyze

Govern

DataConnect

Watson DataPlatform

Process

Watson Data Platform

+

+

On-premise

Intelligent applicationspowered by Watson

Cloud platforms

Data life cycle

EndUser

Data Sources

Applications

Personality Insights

Natural Language

Understanding

Conversation DocumentConversion

Language Translator

Natural Language Classifier

Retrieve & Rank

Tone Analyzer

Language

Speech to Text

Text to Speech

Speech

Visual Recognition

Vision

Tradeoff Analytics

Alchemy Data News

Data Insights

Ennorskreferanse

The IBM DataFirst Method helps you transform your business on your journey to become a cognitive enterprise by gaining the most value from your data.

• Focuses on a client’s analytics & cloud journey• Aligned to IBM’s Cloud-First vision• Identifying and documenting gaps and plan to address (products, services)

• Designs a solution to a specific business problem• With a roadmap to the future• Leveraging IBM’s proven workshops, assets and expertise

• Drives to a successful production implementation• Leveraging IBM Analytics cloud offerings with IBM & delivery partner expertise• Delivering and providing value against the established business case

The IBM DataFirst Method: Explained

FuelingYourData-DrivenTransformation

TheIBMDataFirstMethodhelpsyoutransformyourbusiness onyourjourneytobecomeacognitiveenterprisebygainingthemostvaluefromyourdata.• Focusesonaclient’scloud,data,andcognitive

journey• Developsanactionableusecaseforaclient’sbusiness

problem• Drivestoasuccessfulproductionimplementation

Accelerate time to value through agile sprints

Mitigate risk for cloud-first solution design and

implementation

Establish business case for making an investment

to advance data-driven transformation

End-to-End Solution Success

Run &

Maintain

Implement

Discovery Workshop

Design &

Validate

Briefing & Vision

FiveEssentialElementsofData&Analytics

The Watson & Cloud Platform www.ibm.com/no/watson-summit-oslo/