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  1. Developing a Farm Digital Strategy 3 – Data Management Considerations

    https://ohioline.osu.edu/factsheet/fabe-557

    information for farm decisions. (Developed by the Ohio State University Extension Digital Ag Team. ... representatives. A 2017 Ohio State University survey of progressive soybean farmers who heavily used PA ... or otherwise disposed of) when a contract ends or when you stop using a digital tool.  Establish ...

  2. Developing a Farm Digital Strategy 1- Introduction

    https://ohioline.osu.edu/factsheet/fabe-555

    volumes of data for a field.   A study conducted by the Ohio State Digital Ag team in 2017 collected 60.4 ... Erickson, Purdue University. Visit The Ohio State University Digital Ag Program online at digitalag.osu.edu ... Specialist, Department of Food, Agricultural and Biological Engineering, Ohio State University Jenna Elleman, ...

  3. Best Practices for Effective and Efficient Pesticide Application

    https://ohioline.osu.edu/factsheet/fabe-532

    Specialist, Department of Food, Agricultural and Biological Engineering, The Ohio State University Applying ... over the years require even more attention to efficiency, efficacy, and safety. Although each crop ... you determine the best nozzle that will be best for a specific spraying situation, you need to ...

  4. Developing a Farm Digital Strategy 2 – Precision Technology and Data Generation

    https://ohioline.osu.edu/factsheet/fabe-556

    Ohio State University Extension Digital Ag Team Agronomic Data  Figure 2. An example of agronomic data. ... (Collected during field research by the Ohio State University Extension Digital Ag Team) Agronomic data ... University. Visit The Ohio State University Digital Ag Program online at digitalag.osu.edu and the Agronomic ...

  5. Osteoporosis: Risk Factors, Prevention, and Detection

    https://ohioline.osu.edu/factsheet/hyg-5808

    United States increases Are You at Risk? Let’s look at the major risk factors for osteoporosis: Age. ... HYG-5808 09/16/2020 Kendall DeWine, Program Assistant, Ohio State University Extension Family and ... developing osteoporosis are greater if you are a woman. After the age of 50, one in two women will break ...

  6. Business Retention and Expansion Program

    https://ohioline.osu.edu/factsheet/cdfs-1562

    Assistant Director, Community Development, Ohio State University Extension James Morris, Educator, Community ... Development and Agriculture and Natural Resources, Ohio State University Extension, Brown County Gwynn ... Stewart, Educator, Community Development, Ohio State University Extension, Noble County Godwin Apaliyah, ...

  7. Aging: A Natural and Beneficial Part of Life

    https://ohioline.osu.edu/factsheet/hyg-5809

    Program Assistant, Ohio State University Extension Family and Consumer Sciences, Clark County Aging is ... doi-org.proxy.lib.ohio-state.edu/10.3389/fpsyg.2018.00067 Fullen, M.C., Granello, D.H., Richardson, V.E., & Granello, P.F. (2018, January 12). Using ... Development, 96(4), 424-435. doi-org.proxy.lib.ohio-state.edu/10.1002/jcad.12224 Hawkley, L.C., Norman, G.J., ...

  8. Involving Volunteers in a Community-Led Business Retention and Expansion Program

    https://ohioline.osu.edu/factsheet/cdfs-1563

    Educator, Ohio State University Extension, Lucas County and Ohio Sea Grant James Morris, Extension Educator, ... Community Development and Agriculture and Natural Resources, Ohio State University Extension, Brown County ... Gwynn Stewart, Educator, Community Development, Ohio State University Extension, Noble County Existing ...

  9. Coordinating a Community-Led Business Retention and Expansion Program

    https://ohioline.osu.edu/factsheet/cdfs-1564

    Development, Ohio State University Extension, Lucas County and Ohio Sea Grant James Morris, Educator, community ... Community Development, Ohio State University Extension, Noble County Communities are better able to impact ... Expansion Program, CDFS-1562-10. Ohio State University Extension. Columbus, Ohio, The Ohio State University. ...

  10. Useful Tables: Adjustments and Conversions on Corn and Soybean Parameters

    https://ohioline.osu.edu/factsheet/agf-502

    25,000 30,000 35,000 Apr 10 62 76 86 92 94 93 Apr 20 67 81 91 97 99 97 Apr 30 68 82 92 98 100 98 May 9 65 ... 12.0 53.77 65.06 24.5 62.68 80.50 12.5 54.08 65.50 25.0 63.09 81.25 13.0 54.39 65.95 25.5 63.52 82.03 ... 19.5 58.78 73.27 34.0 71.70 94.28 20.0 59.15 73.96 35.0 72.80 95.71 20.5 59.52 74.60 36.0 73.94 97.17 ...

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