Harvest Max Playbook


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  • Note to presenter: If you haven’t qualified the audience, start here by asking them to tell you about their current farming practices and any involvement with Precision Farming practices. Spend some quality time to understand what they are doing, where they would like their operation to progress to, and their specific likes and dislikes about their precision farming activities.
  • The good and bad news about rising prices: When input costs rise, the bad news is that mistakes become extremely expensive. The good news is that adjustments we make can provide a much more significant ROI.
  • There are other factors that help increase the value of our efforts: environmental concerns, limited land resources, growing population, possibility of greater uniformity, increased quality of product, and ever-increasing input costs.
  • Many growers are accumulating reams of data with notebooks full of maps and hard drives full of computer files.
  • A geographic information system (GIS) , also known as a geographical information system or geospatial information system , is any system for capturing, storing, analyzing and managing data and associated attributes which are spatially referenced to Earth. In the strictest sense, it is any information system capable of integrating, storing, editing, analyzing, sharing, and displaying geographically referenced information. In a more generic sense, GIS is a tool that allows users to create interactive queries (user created searches), analyze the spatial information, edit data, maps, and present the results of all these operations. GIS allows us to query based on very specific points and look at layers simultaneously to see what is affecting yield. That way we can get to the layer that is important to start tweaking programs and changing management to either increase yield or reduce expense.
  • It’s a system within our Premier Crop Management program that ties the data together online and through reports allowing us to correlate everything back to yield. It also gives us the ability to compare the “fields within our fields” to other producers “fields within their fields” anonymously. Used to make better decisions with more data. HPCM is local information providing data management and analysis for comparison sake. HPCM allows us to compare layers simultaneously as opposed to spreading everything out over the dining room table.
  • The key is the flexibility to see the data in a way that you’re most comfortable with and is the most valuable to you.
  • In some cases, the correlation may seem obvious. However, that is where we need to focus in that field.
  • Let’s take a look at some of the key decisions we can make with the data we gather and correlate to yield. It is NOT always about the extra bushel, it is sometimes about increasing efficiency and profitability.
  • The first area we can look at is our P & K. When we look at the “fields within our fields” we are able to make recommendations that are best for our farm, not based on an “average” recommendation that a university might provide.
  • The reports we look at are dependent upon HOW we’d like to see the data. Let’s take a look at some examples (to follow).
  • The first thing to note is that Yield is broken down as Red = poorest performing 10% Orange = next 20% Yellow = next 20% Light Green = next 20% Medium Green = next 20% Dark Green = highest performing 10% Notice the Correlation to Dry Yield; Yield by Soil Type. Inverse correlations are shown in red, positive correlations in blue.
  • Why would P and K have an inverse relationship to yield? This does NOT mean that the fertilizer we sell you kills your crop!
  • A case where there was a drastic difference in hybrid performance! However, there is a definite boost due to higher K levels.
  • This report pulls together the grower’s total fields and shows the correlations of all the fields combined. Even though you will see an inverse correlation to P and K in some fields, when averaged over entire operations, P and K typically are highest where yields are the highest.
  • Another way to look at the correlations is with a Field History Report. Which report you like better really comes down to personal preference and how you like to see the data organized so it makes the most sense.
  • Several planters have this capability, there has been tremendous interest in this part of the program. We are in the process of adding software so we can write variable rate planting prescription. In spite of the interest, the prospect of changing populations manually makes most people nervous about forgetting to bump the population back up.
  • Example of planting rate trial on the same soil type with 1.5 acre grids. Some researchers have found that they can successfully and profitably keep boosting populations to near 40k. However, we need to be placing check areas in fields to help us continually tweak and adjust populations based on the environment.
  • Example of general planting rates at low organic matter levels. Separates also the irrigated vs None. This could be broken down further into just one hybrid.
  • Even though we started with Yield by Soil Type, look how much better we can do.
  • Set the parameters to match your individual fields so you display the most appropriate hybrids. As we accurately characterize our fields and environment, we can make very strong comparisons.
  • The cost analysis is not a large part of first year participation. It can become an important tool for each operation, but initially isn’t as crucial.
  • There is also a cost/bushel map in which the colors represent ranges of $ spent per bushel raised. This requires very good characterization of ALL input costs.
  • A good first step in refining N rates is to account for the Nitrogen in MAP, DAP, and AMS. Then, variable rate the additional N as needed.
  • The Nitrogen cycle. Shows how commercial and organic fertilizer is broken down into a plant available form as well as how N can be lost.
  • Conventional applications overapply N on Highly productive ground and underapply on less productive ground. Nitrogen use efficiency also varies greatly by hybrid. In fact, Monsanto is working to increase N use efficiency of corn hybrids so you can do more with less.
  • University of Illinois is working to address this, but with a lot of disagreement within the department. If we could accurately show how much N would be released from the soil, we could perfect our N rates very quickly. However, those results don’t come over night.
  • This chart really shows the ROI correlation to Organic Matter. Notice the payoff of fertilizer on the 2% vs. the 4%. As organic matter increases, the benefit of additional nitrogen is not as dramatic. This is due to the increased N contribution of High OM soils. OM is often the unused portion of the soil test report. There is often a problem of having good spatial information to accurately describe the OM levels.
  • To summarize…Why would a grower want to divest in Precision Farming practices?
  • We want to be involved with you in all aspects of this cycle.
  • Harvest Max Playbook

    1. 2. Contents <ul><li>Basis for Precision Farming </li></ul><ul><li>What key decisions can we make? </li></ul><ul><li>Why Precision Farming? </li></ul><ul><li>Why Harvest Max? </li></ul><ul><li>Membership Responsibilities </li></ul><ul><li>Membership Investment </li></ul>
    2. 3. A. Basis for Precision Farming <ul><li>Mechanized agriculture has allowed the farmer to focus on field-sized plots (whole fields) and become more efficient balancing labor and input costs with the amount of workable land they could farm. </li></ul><ul><li>Focus: Operational efficiencies to increase ROI. </li></ul>
    3. 4. Where we are…Why Precision Farming? <ul><li>Today’s technology enables us to capitalize on those operational efficiencies and increase our focus on identifying, quantifying and managing the crop yield variables in smaller plots (fields within fields). </li></ul><ul><li>Focus: Achieving a balance between operational and agronomic efficiencies for maximum ROI. </li></ul>40-160+ Acres Traditional Mgt. 1/10-1/100 Acre Precision Mgt.
    4. 5. The Building Blocks of Precision Farming Global Positioning Systems Geographic Information Systems Direct & Remote Sensing Variable Rate Technology Yield Monitors Precision Navigation Precision Data Management Software
    5. 6. What is GIS and why is it important? <ul><li>GIS is a management tool that allows users to create queries, analyze the spatial information, edit data, create maps, and present the results of all these operations. </li></ul><ul><li>These “layers” of data include: </li></ul><ul><ul><li>Planting dates, populations, speed, variety or hybrid </li></ul></ul><ul><ul><li>Soil Maps </li></ul></ul><ul><ul><ul><li>Soil Type, Texture, Class, CEC </li></ul></ul></ul><ul><ul><ul><li>Fertility (N, P, K, ….), pH, Organic Matter </li></ul></ul></ul><ul><ul><li>Yield Maps </li></ul></ul><ul><ul><li>Aerial Photos </li></ul></ul><ul><ul><li>Remote Sensing Data </li></ul></ul><ul><ul><li>“ As-Applied Maps” </li></ul></ul><ul><ul><li>Weather </li></ul></ul><ul><ul><li>Etc. </li></ul></ul>
    6. 7. Our GIS Data Management Solution <ul><li>Premier Crop Systems ® </li></ul><ul><ul><li>premiercrop.com TM is an online database structure that allows you to see the relationship between all the layers of data that you can collect including previously hidden relationships. </li></ul></ul><ul><ul><li>Provides analysis at the field and grower level and across thousands of confidentially pooled acres. </li></ul></ul><ul><ul><li>It helps us turn reams of field data into data-backed management decisions to find the most efficient balance between the highest possible yield and the lowest possible cost. </li></ul></ul>
    7. 8. Analysis/Reports Available <ul><li>Field Level </li></ul><ul><ul><li>Field Maps, Variety by Soil Type, Field History, Field Top Ten, Multi-year Field History, Top Performers </li></ul></ul><ul><li>Grower Level </li></ul><ul><ul><li>Grower Top Ten, Farm History, Average and Variance Reports </li></ul></ul><ul><li>Variety Profile – runs on any level </li></ul><ul><li>Search Engine – unlimited queries/data mining on any level or combination </li></ul>
    8. 9. An Example of a “Field Top Ten Results” Report
    9. 10. B. What Key Decisions Can We Make? <ul><li>Better P and K management </li></ul><ul><li>Refining planting rates including variable rate within fields </li></ul><ul><li>Hybrid and variety selection – matching genetics to each field’s unique agronomic environment. </li></ul><ul><li>Better agronomic recordkeeping & cost per bushel analysis. </li></ul><ul><li>Better Nitrogen management including variable rate within fields. </li></ul>
    10. 11. 1. Better P and K management <ul><li>University recommendations are the cornerstone of P and K management BUT isn’t it possible to do better? </li></ul><ul><li>If we have the tools, doesn’t it make sense that there isn’t one perfect PPM number that fits every acre , every producer’s management ability or risk tolerance? </li></ul><ul><li>Data from thousands of acres and more than six crop years is proving that we can do better than a “one-size-fits-all” approach to P and K fertility management. Fertility and yield data are cornerstones to producing higher yields. </li></ul>
    11. 12. Two ways to view the same data <ul><li>What is the average fertility level in my low yield or high yield areas? </li></ul><ul><ul><li>Answered in Field and Grower Top Ten Reports. </li></ul></ul><ul><li>What is the average yield in my low fertility or high fertility areas? </li></ul><ul><ul><li>Answered in Field and Farm History Reports. </li></ul></ul>
    12. 17. From Grower Top Ten Report
    13. 20. 2. Refining planting rates <ul><li>The economics of variable planting rates: </li></ul><ul><ul><li>Triple stacked corn for >$200/bag = $2.5 per 1000 seeds, therefore 5000 seeds = $12.50/acre. </li></ul></ul><ul><ul><li>Many fields have areas that produce at 36,000 other areas that 29,000 is the correct rate. </li></ul></ul><ul><li>More variability = more opportunity. </li></ul><ul><li>premiercrop.com TM Search Engine allows us to determine optimum planting rates on different soil types, agronomic practices and genetics. </li></ul>
    14. 21. Variable Rate Planting Recommendation
    15. 22. Example of Report Showing Results
    16. 23. 3. Hybrid and variety selection – matching genetics to each field. <ul><li>Ever faced the situation where a particular hybrid or variety is your best and also your worst? </li></ul><ul><li>Even in the same field? </li></ul>
    17. 24. Multiple Variety Placement Offensive Offensive Offensive Defensive Defensive Defensive Defensive Blend
    18. 26. The Variety Profile tool <ul><li>Allows us to see how a hybrid or variety performed across different variables. </li></ul><ul><ul><li>Variety Profile Report </li></ul></ul><ul><ul><li>Top Performers Report </li></ul></ul><ul><ul><li>The Search Engine </li></ul></ul>
    19. 29. Hybrid and variety selection <ul><li>Group data can be powerful also can be limited if the growing environment is not adequately quantified. </li></ul><ul><li>Easy to provide apples to oranges comparisons </li></ul><ul><li>Yield by hybrid by soil type is a good start </li></ul>
    20. 30. Hybrid and Variety selection <ul><li>Yield by Hybrid = a starting place </li></ul><ul><li>Yield by Hybrid by Soil Type = better </li></ul><ul><li>Yield by Hybrid by Soil Type by pH, P, K = better still </li></ul><ul><li>Yield by Hybrid by Soils by Soil Test Values by RM by Traits by Population by Rainfall by Applied N by Plant date by previous crop by row width = closer to an apples to apples comparison </li></ul>
    21. 31. Soil Taxonomy <ul><li>“All soils are placed in one of eleven orders depending on the horizons (basically a combination of OM, pH, clay or sand) present in the profile. The goal is to group soils so that all soils in the same group share similar properties, modes of development and management potentials and limitations”. </li></ul>
    22. 32. Soils Family Tree <ul><li>Soil Type </li></ul><ul><li>Great Group (parents) </li></ul><ul><li>Sub Order (grand parents) </li></ul><ul><li>Order (great grand parents) </li></ul>
    23. 37. Variety by Soil Type Report
    24. 41. 18 bu/ac avg. difference top 50% vs. bottom 50%
    25. 43. 210.54 198.63 190.18
    26. 44. 4. Recordkeeping & Cost/bushel Analysis <ul><li>Premier Crop tools – Field History Report and Search Engine </li></ul><ul><li>New Multi-year Grower Reports </li></ul>
    27. 48. 5. Refining Nitrogen Rates <ul><li>How do we convert data into a future VR nitrogen decisions? </li></ul><ul><li>200 bushel yield goal x 1.2 = 240# of N – less 45 # N for legumes = 195 # N </li></ul><ul><li>Starting place for 1st year corn = 1# of N/bushel produced. </li></ul><ul><li>How can we do better? </li></ul>
    28. 49. Nitrogen management <ul><li>N management complexities can be broadly separated into two primary issues: </li></ul><ul><ul><li>Accurately estimating how much nitrogen from all sources is available </li></ul></ul><ul><ul><li>Identifying and managing factors that influence N plant uptake – largely ignored by most. </li></ul></ul>
    29. 50. The Nitrogen Cycle Atmospheric nitrogen Atmospheric fixation and deposition Animal manures and biosolids Industrial fixation (commercial fertilizers) Crop harvest Volatilization Denitrification Runoff and erosion Leaching Organic nitrogen Ammonium (NH 4 ) Nitrate (NO 3 ) Plant residues Biological fixation by legume plants Plant uptake Immobilization Mineralization Input to soil Component Loss from soil - + 78% of the air we breathe and the source of N for fertilizers OM = 5% N – an acre foot of 2% OM = 4000#N. 4% OM = 8000#N 1 - 3% organic N is converted to plant usable N – 80# - 240#
    30. 51. What might Soil N contributions be: High-3% Normal-2% Low – 1% 360# 240# 120# 6% OM 12000# 300# 200# 100# 5% OM 10000# 240# 160# 80# 4% OM 8000# 160# 120# 60# 3% OM 6000#
    31. 52. Nitrogen management <ul><li>OM can be a logical next step in VR N formulas. Within a field, won’t the 4% OM mineralize more N than the 2% OM every year? </li></ul><ul><li>Past problem is lack of spatial measurement – dramatic improvement with grid sampling. OM is the unused portion of the grid sample. </li></ul>
    32. 53. Yield by Total N Rate by OM ’00-’05 min. 80 bu/ac – 230,992 acres 18,613 ac 59,390 ac 91,545 ac 31,171 ac
    33. 54. if ( ( OM < 2.5 ) and ( K < 200 ) and ( pH > 5.7 ) ) then apply ( 28 ) elseif ( ( OM < 2.5 ) and ( K > 200 ) and ( pH > 5.7 ) ) then apply ( 25.5 ) elseif ( ( OM < 2.5 ) and ( K > 200 ) and ( pH < 5.7 ) ) then apply ( 28 ) elseif ( ( OM < 2.5 ) and ( K < 200 ) and ( pH < 5.7 ) ) then apply ( 31 ) elseif ( ( OM > 2.5 ) and ( OM < 4 ) and ( K < 200 ) and ( pH > 5.7 ) ) then apply ( 25.5 ) elseif ( ( OM > 2.5 ) and ( OM < 4 ) and ( K < 200 ) and ( pH < 5.7 ) ) then apply ( 28 ) elseif ( ( OM > 2.5 ) and ( OM < 4 ) and ( K > 200 ) and ( pH > 5.7 ) ) then apply ( 23 ) elseif ( ( OM > 2.5 ) and ( OM < 4 ) and ( K > 200 ) and ( pH < 5.7 ) ) then apply ( 25.5 ) elseif ( ( OM > 4 ) and ( K < 200 ) and ( pH > 5.7 ) ) then apply ( 23 ) elseif ( ( OM > 4 ) and ( K > 200 ) and ( pH > 5.7 ) ) then apply ( 20 ) elseif ( ( OM > 4 ) and ( K > 200 ) and ( pH < 5.7 ) ) then apply ( 23 ) elseif ( ( OM > 4 ) and ( K < 200 ) and ( pH < 5.7 ) ) then apply ( 25.5 ) else apply ( 25.5 ) endif VR formulas will be more complex
    34. 55. Future N Matrix Population and Genetics Calcium Soil Test K Applied K Soils/Drainage/pH/Compaction/ Low fertility N Rate Organic Matter ASNT Weather N Timing Previous Crop/ Manure
    35. 56. C. Why Precision Farming? <ul><li>Weather and soil are critical but management is still the key. </li></ul><ul><li>Profits are still heavily tied to production. </li></ul><ul><li>Correlating information from “fields within your fields” can increase your profits. </li></ul><ul><li>“ You can’t save yourself into prosperity.” </li></ul><ul><li>“ You can spend yourself poor, but you can’t save yourself rich.” </li></ul>
    36. 57. D. Why Harvest Max? <ul><li>Harvest Land identified a need for their growers to have a partner throughout the entire cycle. </li></ul><ul><ul><li>Information </li></ul></ul><ul><ul><li>Experiences </li></ul></ul><ul><ul><li>Options </li></ul></ul><ul><li>“ a team approach…it’s helpful…so there are two minds working on this, confident that they’re doing it right…chart a game plan and have an optimistic attitude, that’s the way to go.” </li></ul><ul><ul><li>Gyles Randall, University of Minnesota Extension soil scientist. </li></ul></ul>
    37. 58. Your Partner in Precision Agriculture… Best Use of New Technology and Tools Latest in Precision Ag Information and Seminars Precise Fertility Management Recommendations Grid Sampling & Geospatial Soil Testing Ground Truthing Increased Profitability Accurate Data Collection and Correlation to Yield Better Seed Selection and Planting Your Membership in Harvest Max
    38. 59. E. Member Responsibilities <ul><li>Commit to Precision Farming management practices: </li></ul><ul><ul><li>Yield mapping or monitor w/ GPS. </li></ul></ul><ul><ul><ul><li>Ability to export yield files as a “shapefile”. </li></ul></ul></ul><ul><ul><ul><li>Ag Leader, Voyager, GreenStar, GreenStar 2. </li></ul></ul></ul><ul><ul><ul><li>Check with us to verify others. </li></ul></ul></ul><ul><ul><li>Geospatial soil test (Current grid sample data). </li></ul></ul><ul><ul><li>Keep accurate planting and harvesting data. </li></ul></ul><ul><ul><li>Provide management information. </li></ul></ul><ul><ul><li>Invest in the process and the outcome. </li></ul></ul>
    39. 60. What’s the Data Collection & Flow? <ul><li>Grower, Farm, Field hierarchy </li></ul><ul><li>Geo-referenced Field boundaries </li></ul><ul><li>Soil Sample data files </li></ul><ul><li>Soils data </li></ul><ul><li>Specific Planter data – Planting points and information </li></ul><ul><li>VR Fertilizer data </li></ul><ul><li>Specific Field information – planning, costs, etc. </li></ul><ul><li>Weather data – external source </li></ul><ul><li>Yield Maps </li></ul><ul><li>Analysis Reports </li></ul>
    40. 63. F. Member Investment <ul><li>Bronze Package : </li></ul><ul><ul><li>10 acre zone sampling every 4 years </li></ul></ul><ul><ul><li>Data Management </li></ul></ul><ul><ul><li>$4.75/acre/year </li></ul></ul><ul><li>Gold Package: </li></ul><ul><ul><li>4.4 acre grid sampling every 4 years </li></ul></ul><ul><ul><li>Data Management </li></ul></ul><ul><ul><li>Ground Truthing </li></ul></ul><ul><ul><li>Newsletter updates </li></ul></ul><ul><ul><li>Year-end annual conference </li></ul></ul><ul><ul><li>$5.00/acre/year </li></ul></ul><ul><li>Platinum Package: </li></ul><ul><ul><li>2.5 acre grid sampling every 4 years </li></ul></ul><ul><ul><li>Data Management </li></ul></ul><ul><ul><li>Ground Truthing </li></ul></ul><ul><ul><li>Newsletter updates </li></ul></ul><ul><ul><li>Year-end annual conference </li></ul></ul><ul><ul><li>$5.50/acre/year </li></ul></ul>
    41. 64. Accurate Information, Compelling Insights <ul><li>The real breakthroughs that help our members come from looking beyond the numbers. Accurate information is just the beginning. Through our work across thousands of acres and our partnership with the most progressive and business-minded producers in the area we are able to assist our growers not only in the better collection of sub-field data but also in the awareness of the implications of that data and in the development of the insight needed to make the business decisions that allow them to maximize their precision farming production and capture lost potential income. </li></ul>