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Digital Oil Palm Plantation Together with SAP by Jack Wang

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Digital Oil Palm Plantation Together with SAP by Jack Wang
Presented at Seminar National Planters Indonesia 2018

Publicado en: Tecnología
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Digital Oil Palm Plantation Together with SAP by Jack Wang

  1. 1. Public Jack Wang, Director, SAP Agribusiness Southeast Asia Aug 2, 2018 Digital Plantation Together with SAP
  2. 2. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 2Customer Palm Oil industry is facing many challenges Growing Demand • By 2050 the world population will approach 10 billion. Food demand for oils per capita increases in parallel with the increases in per capita GDP. • Production needs to increase by over 3.5% per annum over the next 15 years to avoid the need for more land to be planted to oil crops. Sustainability Pressure • Increased pressure from governments and NGOs for sustainability and traceability • Consumer are increasingly willing to pay a premium for ensured food traceability, and certified food quality and safety Constraints on Supply • Temporary bans and pressures to minimize any increase in areas planted to oil palm. • CPO yields/hectare stopped growing about 10 years ago. • Shortage of skilled labour and demand for higher wages. • Inefficiencies in operations, such as fertilization and transpiration.
  3. 3. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 3Customer But technology advances bring new opportunities Drones & Sensors • Drones with Multispectral / Hyperspectral Imaging Camera and RGB Camera • Sensors for soil moisture, PH and nutrient levels; • Smart machinery Blockchain • Distributed, immutable, smart contracts • Perfect for FFB traceability Connectivity • 2G/3G/4G • LoRa / NB-IoT • TV Whitespace AI / Machine Learning • Palm tree recognition through Deep Learning • Nutrient level detection, disease/pest detection and forecast • AI for fertilizer recommendations
  4. 4. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 4Customer Our vision: Let each palm tree thrive at its individual optimum Yield (FFB, CPO) Quality Reduce environmental footprint Land Fertilizer Crop protection Water Reduce Cost Digital roadmap for palm oil production towards 2025 Imagine 2025 to have palm oil plantations where the yield of every palm tree is transparent. Precise operations will allow to let each palm tree thrive at its individual optimum.
  5. 5. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 5Customer Precision Agri requires capabilities
  6. 6. 6INTERNAL© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Drone Hardware SAP Spatial Services GeoTiff Image Pyramid SAP Connected Agriculture Machine Learning Live Plantation Data Feed detected features Image data Digital Twin • Tree ID • Age • Condition • Nutrient requirements • Pests • … Pre- Processing Engine (via ODM) Computer Vision Neural Networks • individual tree identification • feature extraction (color, nutrient deficiencies) • Trained based on agronomic expert’s classification of features or based on business data (high yield, high profit, different growth schemes, different fertilization schemes,…) Train to detect new features Agronomic Domain Expert • Tag map based on agronomic relevant features • Nutrient Levels • Pest / Disease • Thinning • Growth Monioring • … analyze act Example 1: Leverage drones and Machine Learning for plantation monitoring Web Map Service
  7. 7. 7INTERNAL© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ
  8. 8. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 8Customer Example 2: End-to-end Smart Fertilization
  9. 9. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 9Customer End to End Fertilizer Management Trial Management •Trial Planning •Trial Execution •Trial Dashboard Fertilizer Planning •Nutrient Level Monitoring using IoT •Or SSU/LSU/Lab Task Management •Economy Adjustment •Fertilizer Plan and Approval Fertilizer Task Scheduling •Application Task Planning Fertilizer Application •Application Task Execution and Tracking •Fertilization Heatmap (planned vs actual) Fertilizer Recommendation Engine using Machine Learning Trial Result Data Economic Curve Dosage/Tree Inventory Demand Actual Application Data Actual Yield Plantation Management & Supply Chain Master Data Cost Ops Plan
  10. 10. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 10Customer Sugarcane Field in Brazil – Analytics Electrical Conductivity
  11. 11. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 11Customer Precision Agri Machineries Use case overview • Required functionality: • Auto steering, route planning • GPS • Automated task execution • Data collection •Use precise data from crop and soil models to optimize farming operations (rates, areas, timing etc.) •Variable rate fertilization •Variable rate spraying •Precision Irrigation •Precision integrated disease management
  12. 12. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 12Customer Farm Operations: Field in Brazil - Machine Data integration Monitor field tasks and machines
  13. 13. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 13Customer Fertilization Management: Fertilizer application optimization
  14. 14. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 14Customer Geo Position Velocity Error Codes Temperature Temperature Cooling Number of Heavy Shocks Pedal PositionLoading Details Weight of Load G Forces Etc. No Leftover FFB at collection point Enhance Driver Behaviour Improve Fleet Utilization Reduce Fuel Consumption Reduced Maintenance Cost Example 3: Fleet Tracking to optimize utilization and reduce downtime
  15. 15. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 15Customer Key Processes Key Master Data SAP solution strategy for efficient and sustainable precision farming S/4 HANA incl. Plantation Management solution System of Record / Transactions System of Innovation Precision Agriculture Platform Transactional processes Data driven processes Business Partners IOT Sensors Cost Accounts Materials Assets … Subfield Definitions Machine Data … GIS Data High Level Planning Procurement Costing Resource Scheduling … Precision planning Precision execution Analytics … Optimization INTEGRATION
  16. 16. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 16Customer Summary and Next Steps  Digitization and Precision Agriculture are major opportunities for palm oil industry  We are ready to engage with you on digital plantation journey  Please contact me for a discussion if you are interested  Jack Wang  Director for Agribusiness, SAP Southeast Asia  Email: Jack01.wang@sap.com  Mobile: +65 9773 4776

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