Precision Ag Innovations to Maximize your Management Zones

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Speakers• Angela Walker

AgVeritas Product Manager, XSInc

• Chad Godsey, PhDOwner, Godsey Precision Ag

• Ben GistAgVeritas Account Manager, XSInc

Introduction to XSInc• Founded in 1998• Profitable and privately held• 75 employees• Located in Raleigh, NC

• Core technology and service offerings – Data collection, cleaning and processing, including

sales data and production data

– Market research platforms

– Sales performance management tools

– Marketing program administration/fulfillment tools

– Production management systems

– Production analysis

• Clients include manufacturers, distributors, retailers, and consultants

Everybody Knows There’s Variability in a Field

Registration Questions

What percentage of your growers are using variable rate

technology on their fields?

0-20% 21-50%51-80% 81-100%

What percentage of your growers have expressed inter-est in using variable rate tech-

nology on their fields?

0-20% 21-50%51-80% 81-100%

Challenges

• Determining optimum rates in each management zone

• Will a new product work on my field? If so, where?

Management zones derived from yield potential

Solutions

• Test input rates for each zone

• Test new products across all zones

Management zones tested with a seeding rate trial

Everybody Knows There’s Variability in a Field

What is AgVeritasTM?• Web-based yield analysis tool• Uses spatial statistics to analyze yield on a single field• Analyzes all the factors that impact yield at the same time

– Planting choice / rate– Treatment choice / rate– Nutrient levels, soil types, elevation– And many more

• Determines which factors impacted yield more and less• Calculates if a certain management practice is profitable on a

field and where

Spatial Effects

Patterns in the yield data where yield is unusually high or low even after accounting for all the known factors.

• Almost always present• Common examples: deer damage,

machine malfunction, broken pipe, former turkey farm

Why is it important to identify and account for spatial effects?If these “outliers” are not identified and accounted for, they may skew analysis results.

Positive spatial effects Negative spatial

effects

SPATIAL EFFECTS MAP

Analysis Results Without Accounting for Spatial Effects

Analysis Results Accounting for Spatial Effects

Compost TrialManagement Zones

Seeding Rate Checks

Analysis Intro

What did we learn from this field?

• Seeding Rate 82 – 93% Yield Zone = 32K 106 – 117% Yield Zone = 32K 118 – 135% Yield Zone = 35K

• Compost provided a positive response on part of the field and will provide an opportunity to variably apply in future years.

Shapefile export of compost profit map

• A more accurate analysis:– Determine which management decisions and field

characteristics impact yield the most– Leading edge spatial statistics

• Learn something each harvest season– Optimum rates for inputs in your management zones– If and where a new product is profitable to apply on a field

AgVeritas: A Tool for Continuous Improvement

Free Data Analysis• Give AgVeritas a test drive• Send us yield data and any additional data files

you have for a single field• Current or past years

Questions?

Thank you for your time!

Angela Walker – AgVeritas Product Manager awalker@xsinc.com

919-379-3669www.xsinc.com