Oies smart agricuture_for_milanm2m_event_nologos


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Smart Agriculture: From experience & intuition to Internet of Everything.
Megatrends, Business Drivers, Challenges , IoT Opportunities ,Business Models

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Oies smart agricuture_for_milanm2m_event_nologos

  1. 1. © Copyright OIES Consulting All rights reserved.1 Consulting Francisco Maroto francisco.maroto@oies.es; 19-20 May 2014 Blog: pacomaroto.wordpress.com Smart Agriculture From experience & intuition to Internet of Everything
  2. 2. © Copyright OIES Consulting. All rights reserved.2 Timeline of agriculture and food technology Neolithic first agricultural revolution 12,000 BC Natufians in the Easter Mediterranean begin harvesting wild grasses 7000 BC – agriculture had reached southern Europe with evidence of emmer and einkorn wheat, barley, sheep, goats, and pigs suggest that a food producing economy is adopted in Greece and the Aegean. 2,600 BC Antiquity 3500 BC – Irrigation was being used in Mesopotamia (Modern day Iraq) 1,700 BC Wind powered machine developed by Babylonians 500 BC – Row cultivation of crops using intensive hoeing to weed and conserve moisture practised in China 300 BC – Efficient trace harness for plowing invented in China 200 BC – Efficient collar harness for plowing invented in China 100 BC – Rotary winnowing fan and themulti-tube seed drill invented in China Arab Agricultural Revolution 800 AC The Arab Empire introduced agricultural innovations such as new forms of land tenure, improvements in irrigation, a variety of sophisticated irrigation methods, the introduction of fertilizers and widespread artificial irrigation systems, the development of gravity-flow irrigation systems from rivers and springs, the use of noria and chain pumps for irrigation purposes the establishment of the sugar cane industry in the Mediterranean, and experimentation in sugar cultivation British Agricultural Revolution 1,700 AC 1,930 AC 1930 – First use of aerial photos in Earth sciences and agriculture Refrigeration for domestic and commercial food preservation introduced in the United States and the UK respectively Green Revolution 2005 – Lasers used to replace stickers by writing on food to "track and trace" and identify individual pieces of fresh fruit 201X AC IoE Revolution 2014 – IoE
  3. 3. © Copyright OIES Consulting. All rights reserved.3 MEGA TRENDS IN AGRICULTURE
  4. 4. © Copyright OIES Consulting. All rights reserved.4 Mega Trends in Agriculture Growing World population Increase demand for food Decreasing amount of land per capita Increasing need for alternative energy feedstock's Increasing demand for biofuels and renewable energy Growing wealth Increasing meat consumption, need for feed Decreasing stocks Weather variability Yield losses due to adverse weather Requirement to reduce greenhouse gases Mega Trends IOT Opportunities There are already 14 million “connected farms” in the US and Europe, By 2020 there will be 70 million connected devices on farms. Interest in the IoT technology is increasing Low-power wireless sensors which do not need battery replacement over their lifetimes Better and cheaper connectivity “Zero-touch” management & analysis Services for Farmers -Shift from product to service based offerings Agriculture Data monetization Increase the productivity of agriculture in a sustainable manner. Increasing competition from new players in global markets The need for product differentiation between expanding markets. Diminishing availability of natural resources for agricultural production Variable stringency of legislation in various countries Changing international priorities in areas such and trade and the environment Consumer demands for food with particular attributes (e.g. organic, heart health, no pesticides, environmentally friendly, treatment of animals). Changing and possibly divergent perception of GMO´s (“genetically modified organisms“) and agrichemicals. Challenges
  5. 5. © Copyright OIES Consulting. All rights reserved.5 CLIMATE-SMART AGRICULTURE vs URBAN SMART AGRICULTURE
  6. 6. © Copyright OIES Consulting. All rights reserved.6 Climate-Smart Agriculture Food SecurityFood SecurityFood SecurityFood Security sustainably increasing agricultural productivity and incomes AdaptationAdaptationAdaptationAdaptation adapting and building resilience to climate change MitigationMitigationMitigationMitigation reducing and/or removing greenhouse gas emissions IOT solutions to improve practical techniques, such as: - Mulching - Intercropping - Conservation agriculture - Crop rotation - Integrated crop-livestock management - Agro-fore - Improved grazing • Improved water management • Better weather forecasting • Drought- and flood-tolerant crops • Crop and livestock insurance • Reduce pesticide, and fertilizer Pillars Hurdles IoT Opportunities • What effects will have data collection, and the injection of intelligence into devices on privacy and personal autonomy? • Power consumption can constrain features, and security measures can interfere with latency and speed. • What is the priority for each situation ? • How do we persuade manufacturers to build standard communication protocols into agriculture objects? • What data do we really want?; How much can we trust the IoT? • How can we guarantee a trust relationship among the edges, and between the edges and the entity who is collecting and analyzing the data. • What do we need from government?. • How can we retrain workers and move them to the new opportunities without too much disruption to their lives?
  7. 7. © Copyright OIES Consulting. All rights reserved.7 Climate-Smart Agriculture – Some Examples Smart Agriculture Applications (Some examples) • Wine Quality Enhancing • Monitoring soil moisture and trunk diameter in vineyards to control the amount of sugar in grapes and grapevine health. • Green Houses • Control micro-climate conditions to maximize the production of fruits and vegetables and its quality. • Golf Courses - Selective irrigation in dry zones to reduce the water resources required in the green • Meteorological Station Network - Study of weather conditions in fields to forecast ice formation, rain, drought, snow or wind changes. • Compost • Control of humidity and temperature levels in alfalfa, hay, straw, etc. to prevent fungus and other microbial contaminants. • Smart animal farming – Animal Health • Livestock Tracking • Smart Irrigation • Integrated system collects data from sensors of soil, plant and climate. • Farming equipment like harvester , combines aggregating and monitoring data. • Protected horticulture. • Connected Farm fleet. Companies logos removed
  8. 8. © Copyright OIES Consulting. All rights reserved.8 URBAN AGRICULTURE ChallengesChallengesChallengesChallenges Soil contaminants Contamination of soil, plants and food from lead, mercury and other heavy metals. Water availability Finding reliable and safe water sources can be difficult for urban farmers Changes in climate and atmospheric and climate conditions in cities compared to rural areas can also be obstacles for urban growers. Regulation - Land access and Urban livestock, Social Issues Land use and animal control by law. Health concern. Report early signs of disease. OpportunitiesOpportunitiesOpportunitiesOpportunities Monitoring concentrations of carbon dioxide, ozone, temperature, humidity, wind, and other factors. Mitigation air pollution. Cities are now reforming land- use, livestock and health policies to allow and even encourage urban agriculture as a money making enterprise. Population increases will soon cause our farmers to run out of land The amount of arable land per person projected to decline to about a third of an acre by 2050 Irrigation now claims some 70 percent of the fresh water that we use The developed world must find new agricultural approaches before the world’s hungriest come knocking on its Technologies such as drip irrigation that precisely deliver water where and when it’s needed can help conserve water. Reusing rainwater and wastewater can provide additional water, but those sources must be monitored Increased interest of urban residents in agriculture. Green economy: urban agriculture for sustainable consumption–production networks IOT SolutionsIOT SolutionsIOT SolutionsIOT SolutionsDriversDriversDriversDrivers Source: Dickson Despommier in an article published in the New York Times in 2009 and other articles found in Internet Companies logos removed Companies logos removed Companies logos removed Companies logos removed
  9. 9. © Copyright OIES Consulting. All rights reserved.9 IoT BUSINESS MODELS IN AGRICULTURE ASSET MONITORING SCENARIO CHARGING FOR USE of ASSET Using the Asset to Control Its Surroundings Providing Additional Digital Information or Services Through an Asset USAGE SCENARIOS
  10. 10. © Copyright OIES Consulting. All rights reserved.10 Sensing as a Service Business Model in Agriculture Sensor Owners Farmer Service Providers Sensor Data Consumers ISV Farmer Applications Sensor Publishers M2M Network Operators Farmer Service Providers Farmer Marketplace agriculturists, spraying contractors, manufacturers Sensor Data Consumers Machinery, Fertilizer, Insurance Agriculture, Animal, Machinery Sensors Sensor Data Consumers Restaurant, Supermarkets , Consumers Sensor Publishers SenaaS Cloud Platforms Sensor Publishers Sensor Data Consumers Farmers
  11. 11. © Copyright OIES Consulting. All rights reserved.11 Enablers of a SenaaS Cloud Platform for Agriculture IoT Process Automation - Exposure - Semantic - Template Handlers Generic Enablers IoT Resources Management - Discovery and Resolution of Things - Services and Resources Interaction IoT Communication - Connectivity Mngt. - Service Control - Device Front End IoT Security, Privacy, Trust IoT Data Handling - Local Storage - Data Pooling - Data Access Policy - Data Handling Precision Agriculture Agriculture Specific Enablers Urban Agriculture Farmer Social Collaboration Animal Monitoring Machinery Agriculture Monitoring Cloud Hosting Interfaces to the Networks Applications & Services Ecosystem Development and Delivery Framework
  12. 12. © Copyright OIES Consulting. All rights reserved.12 Farmer Service Providers - Landscape Architecture Sensor Data Source Data Ingestion Integration, Import, Format Data Management Transformation, Correlation, Enrichment, Retention Data Analysis Data Modeling, Metrics, Reports Privacy,Security,andCompliance DataExchangeServices Complex Event Processing Trigger, Alerts & Triggers Batch DataRepository Structured,Unstructured,Semi-StructuredData Water Management Applications Streaming Agriculture Data Handling Platform Precision Agriculture Planting, Harvest Applications Urban Agriculture Applications Smart animal farming Applications Other Applications Intelligent Gateway Platforms Device, Asset, SIM Mangt. & Connectivity Developer Agent Protocols & Toolkits, APIs, Script APIS, Third Party APIs, NetworkSP APIS, Mobile Client IoT Resource Management BusinessProcessManagement BusinessRulesManagement Service Delivery Platforms Revenue Management Provisioning Product &Service Catalog Customer & Partner Platforms Customer Information Platforms Partner Information Platforms Order Management Agriculture Data Analytics Services WSN Access Networks IoTSecurityManagement IdentityManagement Content Management Platform Browser Client Other Data Sources Alert Platform eMail SMS OTT Wear able Business Services ProtocolsNetworks OTA Platform SenaaS (Sensor-as-a-Service)
  13. 13. © Copyright OIES Consulting. All rights reserved.13 Initiative launched by European Commission Source Computers and Electronics in Agriculture journal homepage: www.elsevier.com/locate/compag- .
  14. 14. © Copyright OIES Consulting. All rights reserved.14 Summary MEGA TRENDS Growing World population. Need for feed. The world's climate is changing fast, and will continue to do so for the foreseeable future. IoT opportunities in Agriculture Hurdles to the Internet of Things for Smart Agriculture Smart Agriculture Applications vs Urban Agriculture Applications 1 CLIMATE-SMART AGRICULTURE vs URBAN AGRICULTURE Climate-Smart Agriculture Pillars. Urban Smart Agriculture Global Goals IoT Business Models in Agriculture Usage Scenarios, Sensing as a Service; Share data, Direct Delivery. Generic Enablers and Farmer Service Delivery Enablers, Landscape Architecture Initiative European Commission for Farm Management System and the Future Internet 2 3 4