Digitize Agriculture with Digital Harvest Confidential
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This document discusses Digital Harvest's plans to digitize agriculture using drones and sensors. It notes that the world's middle class is projected to grow from 1.5 billion to 4.5 billion by 2050, representing opportunities in food production. However, current drone-based agriculture has limitations in scalability and farmers' unfamiliarity with data analysis. Digital Harvest aims to address these by collecting comprehensive sensor data from drones and interconnecting it to provide insights into crop conditions, needs and estimated yields in a holistic manner.
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Digitize Agriculture with Digital Harvest Confidential
- 1. Digital Harvest Confidential Digitize Agriculture Young Kim CEO
- 2. Digital Harvest Confidential 1 Dot = $20M
- 3. Digital Harvest Confidential By 2050 In 35 Seasons! World’s middle class 1.5B to 4.5B
- 7. Digital Harvest Confidential Agriculture - UAS Limitations Not scalable Farmers unskilled in GIS Weak value proposition
- 8. Digital Harvest Confidential Provides Context for Where and When UAV’s Should Be Flown Doves
- 9. Digital Harvest Confidential Tighten Cause and Effect Soy wasn’t Round Up ready Fertilizer Needed Sprayed Defoliant
- 10. Digital Harvest Confidential Interconnect UAV Data Layer ET (Evapotranspiration) NDVI LAI (Leaf Area Index) Chlorophyll Index Fo od Wate r Physical Size Active Growth
- 11. Digital Harvest Confidential Digitize Agriculture Holistic New Capabilities
- 12. Digital Harvest Confidential Digitize Agriculture Yield Estimation
- 13. Digital Harvest Confidential Thank You Youngkim@digital-harvest.net 404 669 6844
Editor's Notes
- Started with UAS, and have expanded to include other technology domains.
- Two Near Term Opportunities: 1. Analog signal based decisions in agriculture leads to inefficiencies. Major crop management decisions are made ‘Reactively’ using ‘Lagging’ indicators. Field crop growers use expensive custom ‘precision agriculture’ equipment for sensing systems such as yield monitors in harvester-combines. Interconnecting multiple data layers leads to much greater impact.
- Weak value prop Static data layer in a single point in time, showing variability is not enough. Want to see trends, tighten the cause and effect relationships, not able with UAS alone Supplemental Vs Replacement value for scouting Corn under <$4/bushel
- Raw sensor data is provided by NASA’s earth observation satellites at no cost. Digital Harvest imports these data sets into its proprietary analytic tools to deliver low priced crop health monitoring capabilities to enterprise customers. As more satellites and better sensing data becomes available, such higher resolution data enables Digital Harvest to up sell premium services.
- Tighten the Cause and Effect coupling Decisions are being made based on crop health data rather than schedule. Are plants growing slower? Did I harvest this time last year (should I have harvested then)? Did my crop rotations help boost plant health this year? Benchmarking helps make the decisions to be tangible, with cause and effect easier to see. This helps a farmer innovate, rather than react.
- Crop monitoring via satellites then interconnect with high resolution UAVs for Detection Example: Customer – 600+ fields in 13 States! UAV’s do not scale.
- Started with heavy UAV emphasis, now pivot around their problems, not technology. The power is from interconnecting all the different data layers. What does this mean- In-season actions without running expensive equipment Know - What, When, and Why Growers know How!
- Just one of our customers….