SlideShare a Scribd company logo
1 of 19
Precision Ag Innovations to Maximize 
your Management Zones 
Hosted by: 
To listen to the webcast: 
• Use your computer's speakers (VoIP) 
• Or call 1-877-568-4108 and enter Access Code: 314-000-597
Webcast Format 
• Participant phones/computer 
mics are muted 
• Use “Questions” to chat with 
presenters 
• Share your thoughts in polls and 
surveys 
• A recording of today’s webcast 
will be emailed to you next week. 
Minimized 
Controls
Speakers 
• Angela Walker 
AgVeritas Product Manager, XSInc 
• Chad Godsey, PhD 
Owner, Godsey Precision Ag 
• Ben Gist 
AgVeritas 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 interest 
in using variable rate technology 
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. 
SPATIAL EFFECTS MAP 
Positive spatial effects 
Negative spatial effects
Analysis Results Without Accounting 
for Spatial Effects
Analysis Results Accounting for Spatial 
Effects
Compost Trial 
Management Zones 
Analysis Intro 
Seeding Rate Checks
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
AgVeritas: A Tool for Continuous 
Improvement 
• 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
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 
919-379-3669 
www.xsinc.com

More Related Content

What's hot (20)

sr. mgr
sr. mgrsr. mgr
sr. mgr
 
2012 Resume
2012 Resume2012 Resume
2012 Resume
 
Smruti Resume
Smruti ResumeSmruti Resume
Smruti Resume
 
Mayaprakash@resume
Mayaprakash@resumeMayaprakash@resume
Mayaprakash@resume
 
Laverdiere,Chris-ResumeOriginal-
Laverdiere,Chris-ResumeOriginal-Laverdiere,Chris-ResumeOriginal-
Laverdiere,Chris-ResumeOriginal-
 
Joe bartnickiresume jun4-2016
Joe bartnickiresume  jun4-2016Joe bartnickiresume  jun4-2016
Joe bartnickiresume jun4-2016
 
Amanda L Shiller 2016 Resume
Amanda L Shiller 2016 ResumeAmanda L Shiller 2016 Resume
Amanda L Shiller 2016 Resume
 
JRHresume15.doc
JRHresume15.docJRHresume15.doc
JRHresume15.doc
 
Manager 2017 TN
Manager 2017 TNManager 2017 TN
Manager 2017 TN
 
Paul_Resume-2017
Paul_Resume-2017Paul_Resume-2017
Paul_Resume-2017
 
Demand Sensing
Demand SensingDemand Sensing
Demand Sensing
 
Besander Allen FINAL 011216 mr.rev.kw
Besander Allen FINAL 011216 mr.rev.kwBesander Allen FINAL 011216 mr.rev.kw
Besander Allen FINAL 011216 mr.rev.kw
 
Ryan Knight's Resume
Ryan Knight's Resume Ryan Knight's Resume
Ryan Knight's Resume
 
Erica_Wingrove_Resume
Erica_Wingrove_ResumeErica_Wingrove_Resume
Erica_Wingrove_Resume
 
Resume
ResumeResume
Resume
 
MohamedSaleh_McMasterUniversity_Resume
MohamedSaleh_McMasterUniversity_ResumeMohamedSaleh_McMasterUniversity_Resume
MohamedSaleh_McMasterUniversity_Resume
 
CLresume
CLresumeCLresume
CLresume
 
SAP Business One for Quality Management
SAP Business One for Quality ManagementSAP Business One for Quality Management
SAP Business One for Quality Management
 
Resume tammy michalski august 2016
Resume tammy michalski august 2016Resume tammy michalski august 2016
Resume tammy michalski august 2016
 
Polasik_Resume_061316
Polasik_Resume_061316Polasik_Resume_061316
Polasik_Resume_061316
 

Similar to Ag veritas™ webcast ppt final_12-05-14 rch1

Precision Ag Insight Webcast: Turn Your Yield Data into a Decision-Making Tool
Precision Ag Insight Webcast: Turn Your Yield Data into a Decision-Making ToolPrecision Ag Insight Webcast: Turn Your Yield Data into a Decision-Making Tool
Precision Ag Insight Webcast: Turn Your Yield Data into a Decision-Making ToolXSInc
 
Jeremy Wilson - Return On Investment When Using Technology And Data
Jeremy Wilson - Return On Investment When Using Technology And DataJeremy Wilson - Return On Investment When Using Technology And Data
Jeremy Wilson - Return On Investment When Using Technology And DataJohn Blue
 
“Unlock Your Manufacturing Data to Drive Manufacturing Optimisation and Resul...
“Unlock Your Manufacturing Data to Drive Manufacturing Optimisation and Resul...“Unlock Your Manufacturing Data to Drive Manufacturing Optimisation and Resul...
“Unlock Your Manufacturing Data to Drive Manufacturing Optimisation and Resul...VisionID
 
“ЕРАМ у Південному регіоні та можливості розвитку для QA спеціалістів” Online...
“ЕРАМ у Південному регіоні та можливості розвитку для QA спеціалістів” Online...“ЕРАМ у Південному регіоні та можливості розвитку для QA спеціалістів” Online...
“ЕРАМ у Південному регіоні та можливості розвитку для QA спеціалістів” Online...GoQA
 
Technology as a Driver for the Chemical Enterprise Sage X3
Technology as a Driver for the Chemical Enterprise Sage X3Technology as a Driver for the Chemical Enterprise Sage X3
Technology as a Driver for the Chemical Enterprise Sage X3Net at Work
 
Ac2017 3. cast software-metricsincontracts
Ac2017   3. cast software-metricsincontractsAc2017   3. cast software-metricsincontracts
Ac2017 3. cast software-metricsincontractsNesma
 
Analytics-driven order management drives customer loyalty
Analytics-driven order management drives customer loyaltyAnalytics-driven order management drives customer loyalty
Analytics-driven order management drives customer loyaltyGenpact Ltd
 
Digitalization in Electronics Manufacturing
Digitalization in Electronics ManufacturingDigitalization in Electronics Manufacturing
Digitalization in Electronics ManufacturingTom Arne Danielsen
 
Sonoco products smart manufacturing initiative boosts uptime 30 percent
Sonoco products smart manufacturing initiative boosts uptime 30 percentSonoco products smart manufacturing initiative boosts uptime 30 percent
Sonoco products smart manufacturing initiative boosts uptime 30 percentIntelligentManufacturingInstitute
 
Allware - Software development
Allware - Software developmentAllware - Software development
Allware - Software developmentSantiago Rudnick
 
Improving Accuracy and Confidence in Workload Models
Improving Accuracy and Confidence in Workload ModelsImproving Accuracy and Confidence in Workload Models
Improving Accuracy and Confidence in Workload ModelsTechWell
 
Platform for Data Scientists
Platform for Data ScientistsPlatform for Data Scientists
Platform for Data Scientistsdatamantra
 
BILS 2015 Umetrics Stefan Raennar
BILS 2015 Umetrics Stefan RaennarBILS 2015 Umetrics Stefan Raennar
BILS 2015 Umetrics Stefan RaennarGBX Events
 
Machine Intelligence in Manufacturing Industry - Igor Mihajlovic
Machine Intelligence in Manufacturing Industry - Igor MihajlovicMachine Intelligence in Manufacturing Industry - Igor Mihajlovic
Machine Intelligence in Manufacturing Industry - Igor MihajlovicInstitute of Contemporary Sciences
 
Joachim_Sculte_Hungary_Appsday_Demantra_081007.ppt
Joachim_Sculte_Hungary_Appsday_Demantra_081007.pptJoachim_Sculte_Hungary_Appsday_Demantra_081007.ppt
Joachim_Sculte_Hungary_Appsday_Demantra_081007.pptbhagatsingh9
 
Lifecycle of a Data Science Project
Lifecycle of a Data Science ProjectLifecycle of a Data Science Project
Lifecycle of a Data Science ProjectDigital Vidya
 
SCRIMPS-STD: Test Automation Design Principles - and asking the right questions!
SCRIMPS-STD: Test Automation Design Principles - and asking the right questions!SCRIMPS-STD: Test Automation Design Principles - and asking the right questions!
SCRIMPS-STD: Test Automation Design Principles - and asking the right questions!Richard Robinson
 
Tools to assess economic returns on high tunnel
Tools to assess economic returns on high tunnelTools to assess economic returns on high tunnel
Tools to assess economic returns on high tunnelLuke Freeman
 

Similar to Ag veritas™ webcast ppt final_12-05-14 rch1 (20)

Precision Ag Insight Webcast: Turn Your Yield Data into a Decision-Making Tool
Precision Ag Insight Webcast: Turn Your Yield Data into a Decision-Making ToolPrecision Ag Insight Webcast: Turn Your Yield Data into a Decision-Making Tool
Precision Ag Insight Webcast: Turn Your Yield Data into a Decision-Making Tool
 
Jeremy Wilson - Return On Investment When Using Technology And Data
Jeremy Wilson - Return On Investment When Using Technology And DataJeremy Wilson - Return On Investment When Using Technology And Data
Jeremy Wilson - Return On Investment When Using Technology And Data
 
Data analytics for agriculture
Data analytics for agricultureData analytics for agriculture
Data analytics for agriculture
 
“Unlock Your Manufacturing Data to Drive Manufacturing Optimisation and Resul...
“Unlock Your Manufacturing Data to Drive Manufacturing Optimisation and Resul...“Unlock Your Manufacturing Data to Drive Manufacturing Optimisation and Resul...
“Unlock Your Manufacturing Data to Drive Manufacturing Optimisation and Resul...
 
“ЕРАМ у Південному регіоні та можливості розвитку для QA спеціалістів” Online...
“ЕРАМ у Південному регіоні та можливості розвитку для QA спеціалістів” Online...“ЕРАМ у Південному регіоні та можливості розвитку для QA спеціалістів” Online...
“ЕРАМ у Південному регіоні та можливості розвитку для QA спеціалістів” Online...
 
Technology as a Driver for the Chemical Enterprise Sage X3
Technology as a Driver for the Chemical Enterprise Sage X3Technology as a Driver for the Chemical Enterprise Sage X3
Technology as a Driver for the Chemical Enterprise Sage X3
 
Ac2017 3. cast software-metricsincontracts
Ac2017   3. cast software-metricsincontractsAc2017   3. cast software-metricsincontracts
Ac2017 3. cast software-metricsincontracts
 
Analytics-driven order management drives customer loyalty
Analytics-driven order management drives customer loyaltyAnalytics-driven order management drives customer loyalty
Analytics-driven order management drives customer loyalty
 
Digitalization in Electronics Manufacturing
Digitalization in Electronics ManufacturingDigitalization in Electronics Manufacturing
Digitalization in Electronics Manufacturing
 
Sonoco products smart manufacturing initiative boosts uptime 30 percent
Sonoco products smart manufacturing initiative boosts uptime 30 percentSonoco products smart manufacturing initiative boosts uptime 30 percent
Sonoco products smart manufacturing initiative boosts uptime 30 percent
 
Purpose-built Analytics for the Business User
Purpose-built Analytics for the Business UserPurpose-built Analytics for the Business User
Purpose-built Analytics for the Business User
 
Allware - Software development
Allware - Software developmentAllware - Software development
Allware - Software development
 
Improving Accuracy and Confidence in Workload Models
Improving Accuracy and Confidence in Workload ModelsImproving Accuracy and Confidence in Workload Models
Improving Accuracy and Confidence in Workload Models
 
Platform for Data Scientists
Platform for Data ScientistsPlatform for Data Scientists
Platform for Data Scientists
 
BILS 2015 Umetrics Stefan Raennar
BILS 2015 Umetrics Stefan RaennarBILS 2015 Umetrics Stefan Raennar
BILS 2015 Umetrics Stefan Raennar
 
Machine Intelligence in Manufacturing Industry - Igor Mihajlovic
Machine Intelligence in Manufacturing Industry - Igor MihajlovicMachine Intelligence in Manufacturing Industry - Igor Mihajlovic
Machine Intelligence in Manufacturing Industry - Igor Mihajlovic
 
Joachim_Sculte_Hungary_Appsday_Demantra_081007.ppt
Joachim_Sculte_Hungary_Appsday_Demantra_081007.pptJoachim_Sculte_Hungary_Appsday_Demantra_081007.ppt
Joachim_Sculte_Hungary_Appsday_Demantra_081007.ppt
 
Lifecycle of a Data Science Project
Lifecycle of a Data Science ProjectLifecycle of a Data Science Project
Lifecycle of a Data Science Project
 
SCRIMPS-STD: Test Automation Design Principles - and asking the right questions!
SCRIMPS-STD: Test Automation Design Principles - and asking the right questions!SCRIMPS-STD: Test Automation Design Principles - and asking the right questions!
SCRIMPS-STD: Test Automation Design Principles - and asking the right questions!
 
Tools to assess economic returns on high tunnel
Tools to assess economic returns on high tunnelTools to assess economic returns on high tunnel
Tools to assess economic returns on high tunnel
 

Recently uploaded

Student Profile Sample report on improving academic performance by uniting gr...
Student Profile Sample report on improving academic performance by uniting gr...Student Profile Sample report on improving academic performance by uniting gr...
Student Profile Sample report on improving academic performance by uniting gr...Seán Kennedy
 
6 Tips for Interpretable Topic Models _ by Nicha Ruchirawat _ Towards Data Sc...
6 Tips for Interpretable Topic Models _ by Nicha Ruchirawat _ Towards Data Sc...6 Tips for Interpretable Topic Models _ by Nicha Ruchirawat _ Towards Data Sc...
6 Tips for Interpretable Topic Models _ by Nicha Ruchirawat _ Towards Data Sc...Dr Arash Najmaei ( Phd., MBA, BSc)
 
wepik-insightful-infographics-a-data-visualization-overview-20240401133220kwr...
wepik-insightful-infographics-a-data-visualization-overview-20240401133220kwr...wepik-insightful-infographics-a-data-visualization-overview-20240401133220kwr...
wepik-insightful-infographics-a-data-visualization-overview-20240401133220kwr...KarteekMane1
 
Semantic Shed - Squashing and Squeezing.pptx
Semantic Shed - Squashing and Squeezing.pptxSemantic Shed - Squashing and Squeezing.pptx
Semantic Shed - Squashing and Squeezing.pptxMike Bennett
 
Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...
Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...
Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...Boston Institute of Analytics
 
English-8-Q4-W3-Synthesizing-Essential-Information-From-Various-Sources-1.pdf
English-8-Q4-W3-Synthesizing-Essential-Information-From-Various-Sources-1.pdfEnglish-8-Q4-W3-Synthesizing-Essential-Information-From-Various-Sources-1.pdf
English-8-Q4-W3-Synthesizing-Essential-Information-From-Various-Sources-1.pdfblazblazml
 
Digital Marketing Plan, how digital marketing works
Digital Marketing Plan, how digital marketing worksDigital Marketing Plan, how digital marketing works
Digital Marketing Plan, how digital marketing worksdeepakthakur548787
 
NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...
NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...
NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...Amil Baba Dawood bangali
 
Student profile product demonstration on grades, ability, well-being and mind...
Student profile product demonstration on grades, ability, well-being and mind...Student profile product demonstration on grades, ability, well-being and mind...
Student profile product demonstration on grades, ability, well-being and mind...Seán Kennedy
 
Easter Eggs From Star Wars and in cars 1 and 2
Easter Eggs From Star Wars and in cars 1 and 2Easter Eggs From Star Wars and in cars 1 and 2
Easter Eggs From Star Wars and in cars 1 and 217djon017
 
Defining Constituents, Data Vizzes and Telling a Data Story
Defining Constituents, Data Vizzes and Telling a Data StoryDefining Constituents, Data Vizzes and Telling a Data Story
Defining Constituents, Data Vizzes and Telling a Data StoryJeremy Anderson
 
Conf42-LLM_Adding Generative AI to Real-Time Streaming Pipelines
Conf42-LLM_Adding Generative AI to Real-Time Streaming PipelinesConf42-LLM_Adding Generative AI to Real-Time Streaming Pipelines
Conf42-LLM_Adding Generative AI to Real-Time Streaming PipelinesTimothy Spann
 
Advanced Machine Learning for Business Professionals
Advanced Machine Learning for Business ProfessionalsAdvanced Machine Learning for Business Professionals
Advanced Machine Learning for Business ProfessionalsVICTOR MAESTRE RAMIREZ
 
FAIR, FAIRsharing, FAIR Cookbook and ELIXIR - Sansone SA - Boston 2024
FAIR, FAIRsharing, FAIR Cookbook and ELIXIR - Sansone SA - Boston 2024FAIR, FAIRsharing, FAIR Cookbook and ELIXIR - Sansone SA - Boston 2024
FAIR, FAIRsharing, FAIR Cookbook and ELIXIR - Sansone SA - Boston 2024Susanna-Assunta Sansone
 
Learn How Data Science Changes Our World
Learn How Data Science Changes Our WorldLearn How Data Science Changes Our World
Learn How Data Science Changes Our WorldEduminds Learning
 
SMOTE and K-Fold Cross Validation-Presentation.pptx
SMOTE and K-Fold Cross Validation-Presentation.pptxSMOTE and K-Fold Cross Validation-Presentation.pptx
SMOTE and K-Fold Cross Validation-Presentation.pptxHaritikaChhatwal1
 
convolutional neural network and its applications.pdf
convolutional neural network and its applications.pdfconvolutional neural network and its applications.pdf
convolutional neural network and its applications.pdfSubhamKumar3239
 
Networking Case Study prepared by teacher.pptx
Networking Case Study prepared by teacher.pptxNetworking Case Study prepared by teacher.pptx
Networking Case Study prepared by teacher.pptxHimangsuNath
 
What To Do For World Nature Conservation Day by Slidesgo.pptx
What To Do For World Nature Conservation Day by Slidesgo.pptxWhat To Do For World Nature Conservation Day by Slidesgo.pptx
What To Do For World Nature Conservation Day by Slidesgo.pptxSimranPal17
 

Recently uploaded (20)

Student Profile Sample report on improving academic performance by uniting gr...
Student Profile Sample report on improving academic performance by uniting gr...Student Profile Sample report on improving academic performance by uniting gr...
Student Profile Sample report on improving academic performance by uniting gr...
 
6 Tips for Interpretable Topic Models _ by Nicha Ruchirawat _ Towards Data Sc...
6 Tips for Interpretable Topic Models _ by Nicha Ruchirawat _ Towards Data Sc...6 Tips for Interpretable Topic Models _ by Nicha Ruchirawat _ Towards Data Sc...
6 Tips for Interpretable Topic Models _ by Nicha Ruchirawat _ Towards Data Sc...
 
wepik-insightful-infographics-a-data-visualization-overview-20240401133220kwr...
wepik-insightful-infographics-a-data-visualization-overview-20240401133220kwr...wepik-insightful-infographics-a-data-visualization-overview-20240401133220kwr...
wepik-insightful-infographics-a-data-visualization-overview-20240401133220kwr...
 
Insurance Churn Prediction Data Analysis Project
Insurance Churn Prediction Data Analysis ProjectInsurance Churn Prediction Data Analysis Project
Insurance Churn Prediction Data Analysis Project
 
Semantic Shed - Squashing and Squeezing.pptx
Semantic Shed - Squashing and Squeezing.pptxSemantic Shed - Squashing and Squeezing.pptx
Semantic Shed - Squashing and Squeezing.pptx
 
Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...
Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...
Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...
 
English-8-Q4-W3-Synthesizing-Essential-Information-From-Various-Sources-1.pdf
English-8-Q4-W3-Synthesizing-Essential-Information-From-Various-Sources-1.pdfEnglish-8-Q4-W3-Synthesizing-Essential-Information-From-Various-Sources-1.pdf
English-8-Q4-W3-Synthesizing-Essential-Information-From-Various-Sources-1.pdf
 
Digital Marketing Plan, how digital marketing works
Digital Marketing Plan, how digital marketing worksDigital Marketing Plan, how digital marketing works
Digital Marketing Plan, how digital marketing works
 
NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...
NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...
NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...
 
Student profile product demonstration on grades, ability, well-being and mind...
Student profile product demonstration on grades, ability, well-being and mind...Student profile product demonstration on grades, ability, well-being and mind...
Student profile product demonstration on grades, ability, well-being and mind...
 
Easter Eggs From Star Wars and in cars 1 and 2
Easter Eggs From Star Wars and in cars 1 and 2Easter Eggs From Star Wars and in cars 1 and 2
Easter Eggs From Star Wars and in cars 1 and 2
 
Defining Constituents, Data Vizzes and Telling a Data Story
Defining Constituents, Data Vizzes and Telling a Data StoryDefining Constituents, Data Vizzes and Telling a Data Story
Defining Constituents, Data Vizzes and Telling a Data Story
 
Conf42-LLM_Adding Generative AI to Real-Time Streaming Pipelines
Conf42-LLM_Adding Generative AI to Real-Time Streaming PipelinesConf42-LLM_Adding Generative AI to Real-Time Streaming Pipelines
Conf42-LLM_Adding Generative AI to Real-Time Streaming Pipelines
 
Advanced Machine Learning for Business Professionals
Advanced Machine Learning for Business ProfessionalsAdvanced Machine Learning for Business Professionals
Advanced Machine Learning for Business Professionals
 
FAIR, FAIRsharing, FAIR Cookbook and ELIXIR - Sansone SA - Boston 2024
FAIR, FAIRsharing, FAIR Cookbook and ELIXIR - Sansone SA - Boston 2024FAIR, FAIRsharing, FAIR Cookbook and ELIXIR - Sansone SA - Boston 2024
FAIR, FAIRsharing, FAIR Cookbook and ELIXIR - Sansone SA - Boston 2024
 
Learn How Data Science Changes Our World
Learn How Data Science Changes Our WorldLearn How Data Science Changes Our World
Learn How Data Science Changes Our World
 
SMOTE and K-Fold Cross Validation-Presentation.pptx
SMOTE and K-Fold Cross Validation-Presentation.pptxSMOTE and K-Fold Cross Validation-Presentation.pptx
SMOTE and K-Fold Cross Validation-Presentation.pptx
 
convolutional neural network and its applications.pdf
convolutional neural network and its applications.pdfconvolutional neural network and its applications.pdf
convolutional neural network and its applications.pdf
 
Networking Case Study prepared by teacher.pptx
Networking Case Study prepared by teacher.pptxNetworking Case Study prepared by teacher.pptx
Networking Case Study prepared by teacher.pptx
 
What To Do For World Nature Conservation Day by Slidesgo.pptx
What To Do For World Nature Conservation Day by Slidesgo.pptxWhat To Do For World Nature Conservation Day by Slidesgo.pptx
What To Do For World Nature Conservation Day by Slidesgo.pptx
 

Ag veritas™ webcast ppt final_12-05-14 rch1

  • 1. Precision Ag Innovations to Maximize your Management Zones Hosted by: To listen to the webcast: • Use your computer's speakers (VoIP) • Or call 1-877-568-4108 and enter Access Code: 314-000-597
  • 2. Webcast Format • Participant phones/computer mics are muted • Use “Questions” to chat with presenters • Share your thoughts in polls and surveys • A recording of today’s webcast will be emailed to you next week. Minimized Controls
  • 3. Speakers • Angela Walker AgVeritas Product Manager, XSInc • Chad Godsey, PhD Owner, Godsey Precision Ag • Ben Gist AgVeritas Account Manager, XSInc
  • 4. 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
  • 5. Everybody Knows There’s Variability in a Field
  • 6. 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 interest in using variable rate technology on their fields? 0-20% 21-50% 51-80% 81-100%
  • 7. 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
  • 8. Solutions • Test input rates for each zone • Test new products across all zones Management zones tested with a seeding rate trial
  • 9. Everybody Knows There’s Variability in a Field
  • 10. 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
  • 11. 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. SPATIAL EFFECTS MAP Positive spatial effects Negative spatial effects
  • 12. Analysis Results Without Accounting for Spatial Effects
  • 13. Analysis Results Accounting for Spatial Effects
  • 14. Compost Trial Management Zones Analysis Intro Seeding Rate Checks
  • 15. 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
  • 16. AgVeritas: A Tool for Continuous Improvement • 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
  • 17. 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
  • 19. Thank you for your time! Angela Walker – AgVeritas Product Manager awalker@xsinc.com 919-379-3669 www.xsinc.com

Editor's Notes

  1. Good morning and welcome to today’s webcast on “Precision Ag Innovations to Maximize your Management Zones ”. I’m Angela Walker with XSInc; and I’ll be serving as your moderator. As we get started, I’d like to thank all of you for joining us today. We have some great presenters online with us to tell you more about our AgVeritas yield analysis tool and how it can help you optimize your management zones and improve variable rate prescriptions
  2. I want to quickly share with you the format for our webcast, which we’re planning to keep to 45-minutes long to be respectful of your time this morning. First, we have muted the phones and computer microphones for everyone listening in to reduce excess noise. However, we do encourage you to actively participate with us throughout the webcast by using the “Questions” area of your webcast controls on the right side of your screen to send us any comments or questions you’d like us to address. If you webcast controls are minimized, simply click on the arrow to expand them so you can send us a question. We’ll be actively monitoring your questions and will have a Q&A session at the end of the webcast. We are recording today’s session, and next week we’ll send you an email with links to the presentation and the recorded webcast so you can review them at your convenience and share them with your colleagues.
  3. The presenters for today are Dr. Chad Godsey, owner of Godsey Precision Ag, and our AgVeritas Account Manager, Ben Gist. Chad will be showing you a live demonstration of a field he analyzed with AgVeritas in just a few minutes, but first, I want to hand the presentation over to Ben so he can give you an overview of AgVeritas.
  4. Thank you, Angela. I’ll get our session started today by sharing a little with you about XSInc, which is headquartered in Raleigh, NC. We were founded about 16 years ago, and we specialize “in all things data” for the ag industry – data collection, management, integration, analysis, reporting – you name it. Our clients are ag industry professionals just like all of you who are joining us today including: manufacturers, distributors, retailers, consultants, and agronomists.
  5. Now that you have a little background about who we are, I want to start us off with this image from Google Maps taken just outside of Dekalb, IL - As you can all see in the image here, every field has tons of variation. You guys know this variability exists on your growers fields, and that it impacts their yield - which is why we’ve been hearing more and more folks like yourselves are using var rate technology. We asked you when you registered for this webinar a few questions about using variable rate prescriptions and technology, so I want to go ahead and show you those results
  6. Here are the results of the survey questions you all answered when you registered. We first asked you what % of your growers are currently using var rate tech, and then asked what % of your growers have expressed interest in adapting the technology. Based on your responses, it looks like a lot of you are already using variable rate prescriptions on some of your grower’s fields, and it seems like the general trend is that more of your growers are interested in adapting the technology in the future
  7. Given the trend we just saw in the survey results that adoption of variable rate technology appears to be increasing, let’s look at some of the typical challenges that you might face when trying to optimize your management zones… One of the main questions we’ve been hearing when talking to industry professionals like yourselves, is how do you know the optimum rate for whatever product it is that you are variably applying in each of your zones? And another challenge we’ve been hearing more and more about is as new products and management techniques become available, growers want to know how well the new options will perform on THEIR fields. Will a trial on their fields produce the same results as a research trial? And where that product will pay to apply on their fields.
  8. So given two challenges, One way we hear people address these tough questions is to run tests in their fields. This first image shows a field that Chad will discuss in more detail shortly, but you can see that test blocks with various seeding rates were placed in each of his management zones. As we look at the results of this test later on, you’ll see how these checks can be used to determine the best rates in each zone. This next image shows a compost strip trial ran on the same field. We’ve been hearing more and more that new products may not always preform the same in all areas of a field, so by testing the product across all zones, were able to see how well the product works in each of those management zones.
  9. I want to bring this image back up because even when you put these tests out, the next question is how do you get the most accurate results of those tests? Putting out these checks is a great way to turn every field into a test, and to learn something new each season to continually improve your fields. But even with these checks or trials in your management zones, with so many factors and variability impacting yield in a given field, its still difficult to determine the true impact a product has on your yield. This is the challenge that our software application, AgVeritas, was designed to help you solve.
  10. So now I want to take a moment to give you all an overview of our precision yield analysis software AgVeritas, how it works, the types of results it produces. And then Chad’s going to go over an analysis he ran through AgVeritas, and walk us through what he learned.
  11. Without accounting for spatial effects, one might make the conclusion that the Quilt Application had no impact, or a negative impact on yield for this specific soil type, regardless of elevation.
  12. Once spatial effects are accounted for, the fungicide product appears to be having a positive impact on yield at lower elevations for this specific soil type.
  13. So to wrap up with this last slide. AgVeritas shows you which field characteristics and applications are impacting your yield the most, and by how much; and by using the most in depth spatial statistic analysis available, you can feel confident basing your management recommendations on the analysis results. Whether its finding an optimum rate of an input for each zone, or determining if and where a new product is profitable on your grower’s fields, AgVeritas can accurately provide you the answers to those tough questions. And so I’ll conclude by saying that each harvest season is an opportunity to learn something about your field, and to continually improve your yields, and we are excited to help you do that with AgVeritas.
  14. As you saw when you registered, we’d like to offer each of you an opportunity to give AgVeritas a test drive. Send us yield data and any additional field data for which you have for a field. The data can be current or historical. Once you send us the files, we’ll run the analysis and set up a time to discuss your data and results with you. You’ll get to see the added value and accuracy that AgVeritas can bring to how you review yield data for your growers, and you can then use that analysis to provide additional insight and propose recommendations to your growers. A free data analysis gives you a great way to see how AgVeritas can help both you and your growers get started on a path of continuous improvement – field by field.