Precision Ag Insight Webcast: Turn Your Yield Data into a Decision-Making Tool
•
2 likes•820 views
In this Precision Ag Insight webcast, Dr. Chad Godsey presents best practices for turning your yield data into valuable insight for data-driven decision making. The webcast covers tools and techniques for: • Collecting high quality yield data • Cleaning yield data • Making management decisions with yield analysis
Recommended
Recommended
More Related Content
Similar to Precision Ag Insight Webcast: Turn Your Yield Data into a Decision-Making Tool
Similar to Precision Ag Insight Webcast: Turn Your Yield Data into a Decision-Making Tool (20)
Recently uploaded
Recently uploaded (20)
Precision Ag Insight Webcast: Turn Your Yield Data into a Decision-Making Tool
- 1. Tools and Techniques for Collecting and Analyzing Yield Data Sponsored by XSInc Chad Godsey, PhD Precision Ag Insight Webinar Sept. 30, 2014
- 2. Sponsored by XSInc Today’s Presentation Presenter Dr. Chad Godsey Owner, Godsey Precision Ag Host Ben Gist Account Manager, XS Inc Webcast Format • Participant phones/computer mics are muted • Use “Questions” to chat with presenters and ask questions • A recording of today’s webcast will be emailed to you later this week
- 3. Sponsored by XSInc Overview - Data Checklist Collecting Yield Data Cleaning Yield Data Initial Interpretation of Yield Data Advanced phases of interpreting data
- 4. The Importance of Yield Data Sponsored by XSInc Make decisions with your yield data using these five steps. This presentation will focus on: • Collect Data • Interpret Results
- 5. Three Steps of Data Collection Sponsored by XSInc Quality data produces quality decisions 1. Calibration 2. Data Management 3. Data Cleaning
- 6. Sponsored by XSInc Registration Question How often do you/your clients generally calibrate your/their yield monitors? • At the beginning of each harvest season • A couple of times during the harvest season • Every few days • More than once a day
- 7. Sponsored by XSInc Results At the beginning of each harvest season 44% Every few days 9% A couple of times during the harvest season 46% More than once a day 1%
- 8. Sponsored by XSInc Importance of Calibration Test Plot in 2012
- 9. Calibration: The Most Critical Step • The calibration process fits a response curve between grain flow rate and flow sensor signal strength in order to estimate yields. In other words, it matches what the machine senses to the actual yield harvested. Sponsored by XSInc
- 10. Sponsored by XSInc Calibration Plan • Determine the number of loads needed (linear vs. non-linear). • Determine load size – 3,000 to 6,000 lbs (50 to 100 bu) • Don’t forget calibration for moisture, header height, temperature and zero flow is important. This is the step that often gets overlooked.
- 11. Sponsored by XSInc Calibration Steps • Select a representative area from high and low yield areas. • Calibrate at the start of the season, do not wait! • Check calibration if … General rules of thumb: • If you start to see 5% difference in error, it is time to recalibrate. • A quick check of calibration once a week doesn’t hurt. • Recalibrate if average daily temperature changes by 10 degrees. • Recalibrate if you observe a 4 to 5 lb/bu change in test weight.
- 12. Calibration Considerations: On-Farm Trials • May need a calibration load for each treatment depending on treatment effects on grain. Sponsored by XSInc • A couple of bushels is typically the difference between treatments, so it pays to double check calibration.
- 13. Sponsored by XSInc Calibration Summary 1. Plan before you harvest a. Be sure you know your equipment’s specs for: • Number of loads • Load size • Calibrating moisture, temperature and zero flow b. Select your calibration area c. Pay special attention to trial areas 2. Calibrate at the start of the season. Don’t wait! 3. Monitor and adjust a. Check once per week b. Watch for changes in weather, errors, test weights
- 14. Sponsored by XSInc Data Management • Check data recording after first full day of harvest. • Backup data every other day if possible.
- 15. Sponsored by XSInc Yield File “Cleaning” • Critical step as mentioned previously. • Especially, for more advanced analysis. • A lot of software will just delete points less than or greater than a specified value, while some do nothing without being told. • Know what your software does automatically or what the defaults are set for.
- 16. Cleaning and filtering Techniques Sponsored by XSInc 1. Grain Flow Delay – usually 4-12 seconds but typically corrected for in combine 2. Start Pass Delay and End Pass Delay 3. Maximum Velocity – 7 mph 4. Minimum Velocity – 2 mph 5. Smooth Velocity 6. Minimum Swath – 120 in 7. Maximum and Minimum Yield 8. Standard Deviation of Yield – 3 to 4 9. Position 10. Manual
- 17. Cleaning and filtering Techniques Sponsored by XSInc
- 18. Sponsored by XSInc Cleaning Flow FOViewer • FOViewer (MapShots) Yield Editor • http://www.mapshots.com/fodm/ • Yield Editor (USDA-ARS) Data Mgt Software • http://www.ars.usda.gov/services/software/download.htm?soft wareid=370.
- 19. Sponsored by XSInc Data Management and Cleaning Summary 1. Protect your valuable information a. Check your data after the first day of harvesting b. Back-up every other day 2. Tips for simple, free yield cleaning 1. Use FOViewer and Yield Editor 2. Set it and forget it: use standard filter settings for basic cleaning 3. Spend time on detailed cleaning when important
- 20. Sponsored by XSInc Registration Question Which best describes how you/your clients use yield monitor data? • Look at yield values as I harvest • Print and examine yield maps • Evaluate average yield against another factor (e.g. yield by soil type, treatment, etc) • Evaluate yield using advanced statistics methods (e.g. regressions, spatial analysis, etc.)
- 21. Sponsored by XSInc Results Watch while harvesting 16% Examine yield maps 25% Evaluate with statistics 16% Evaluate yield averages 43%
- 22. Sponsored by XSInc Interpret Data • Presentation of Data 1. Data aggregation method for grouping ranges 2. Number of Ranges 3. Color Scheme
- 23. Sponsored by XSInc Data Aggregation • Types • Equal Count • Can exaggerate yield patterns • Equal Interval • Can downplay variation, easiest method for comparing maps • Standard Deviation • Can exaggerate yield patterns • Natural Breaks • Not the same from field to field
- 24. Sponsored by XSInc Interpret Data • Initial interpretation • Glance and go • Advanced interpretation • Normalizing yield • AgVeritas • Multi-year analysis
- 25. Sponsored by XSInc Interpretation • A yield map only documents the spatial distribution of crop yield, not what caused the variation. • A yield map is of value only when it leads to a management decision or validates management practices.
- 26. Sponsored by XSInc Initial Interpretation • Start by investigating the conditions at the highest and lowest yield areas in a field. • What are these conditions and can they be repeated? • What are the sizes of these areas in relationship to the whole field and are they significant? • Don’t worry about little changes. Look for trends. • Variability can be broken down into the following categories: 1. Variability cause by management practices • Straight lines 2. Naturally occurring • Irregular shaped breaks
- 27. Sponsored by XSInc Advanced Interpretation • Normalizing Yield • Normalized yield can be obtained by two methods: • Dividing each yield point by the field average • Dividing by the highest yield data point (scale 0 to 100%) • Normalized yields are expressed as a percentage of the average yield of the field and can be used to compare spatial yield patterns across different crops and years. • AgVeritas • Powerful analytical tool to evaluate field-scale trials as well as perform diagnostics
- 28. Sponsored by XSInc Multi-year Analysis • Combines normalized yield data from multiple years and possibly different crops to subdivide the fields into four classes, based on yield ranges and stability. 1. High yielding and stable 2. Medium yielding and stable 3. Low yielding and stable 4. Unstable
- 29. Sponsored by XSInc Summary Collecting Yield Data Cleaning Yield Data Initial Interpretation of Yield Data Advanced phases of interpreting data
- 30. Sponsored by XSInc AgVeritas Demonstration Contact XS Inc for your own live demonstration What is AgVeritas? • 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
- 31. Sponsored by XSInc Thank You Stick around for an AgVeritas demonstration. Chad Godsey, PhD Owner, Godsey Precision Ag Phone: 970-630-7732 chad.godsey@godseyag.com http://godseyag.com/ Twitter: @godseyag Ben Gist Account Manager, XS Inc Phone: 844-833-7482 bgist@xsinc.com http://www.xsinc.com/
Editor's Notes
- Yield data is used in the Collect Data and Evaluate Results. It starts and ends with yield data!
- One year of bad yield data out of four years influenced the multi-year analysis.
- It is important to know what type of curve the monitor uses before calibrating.
- If “old” calibration loads have greater than a 3% error go ahead and remove those loads from the calibration curve. Do not use them anymore.
- AgVeritas let’s is part of the next step in more intensive spatial analytics, getting more out of the data.
- Multi-year yield analysis is the next step in delineating management zones.