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
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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
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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
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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
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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
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Conversation DocumentConversion
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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 &
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Discovery Workshop
Design &
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Briefing & Vision
FiveEssentialElementsofData&Analytics
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