maximising field level profitability using iot and data ... · maximising field level profitability...

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Maximising field level profitability using IoT and data automation

◦ Access to quality data

◦ Data processing complexity

◦ Actionable insights

◦ Demonstrable ROI

Precision Ag Challenges

gclark@agdna.com @MyAgDNA

◦ IoT (Internet-of-Things)

◦ API’s (Application Programming Interface)

◦ Cloud computing

◦ Wireless connectivity

Emerging Technologies

gclark@agdna.com @MyAgDNA

Lux Research – AgDNA Top 10 most innovative companies for 2015

AgDNA

• Agronomic• Topography• Inventory• Climate• Financial

IoT Data Automation - How it worksgclark@agdna.com @MyAgDNA

Financial Data Automation

◦ As applied seed, chemical, fertiliser, fuel rate(spatial)

◦ Inventory input costs per unit, fixed and variable costs, labour rate, equipment costs

◦ Yield results, contract price(spatial)

gclark@agdna.com @MyAgDNA

Net Profit $$$

Seeding

Application

Yield

Fuelevery pass

Speedevery pass

Elevation

Fuel + Input $$$cumulative

Crop Income $$$

Spatially Accurate Resultsgclark@agdna.com @MyAgDNA

Poor – Average – Excellent – zones by net profit

Output - Pixel Profit™gclark@agdna.com @MyAgDNA

Identify yield limitations and provide recommendation with $ROI.

Actionable Insights – point & clickgclark@agdna.com @MyAgDNA

◦ Use IoT to automate data capture

◦ Spatially analyse data in the cloud

◦ Apply all costs and income spatially

◦ Determine net profit by hectare

◦ Correlate yield limiting factors

◦ Provide insights with probability %

Technology can automate the path from data to decision to dollars

Summarygclark@agdna.com @MyAgDNA

Know more | Grow more

agdna.comFor more information contact:Glenn Clarkgclark@agdna.com © 2016 AgDNA