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  1. Identifying and Managing Feed Shrink

    https://wayne.osu.edu/news/identifying-and-managing-feed-shrink

    mixing errors. Concentrate commodities shrink in many ways from the time they arrive at the farm until ... the accuracy of your ration when it is delivered to the cows. The other major shrink error for some ... count by fives. The accuracy error is typically about 1%, but varies a lot between mixers on different ...

  2. The Dairy NRC 2001 Lives On

    https://dairy.osu.edu/newsletter/buckeye-dairy-news/volume-15-issue-2/dairy-nrc-2001-lives

    an error in the equation used to estimate the energy requirement of grazing cows that caused ... passage rate for dry forage also had an error that resulted in a 10 to 15% underestimation of the rate.  ... The Program has been modified so that it runs on 64 bit machines and those two errors have been ...

  3. When farm animals escape, who’s liable?

    https://farmoffice.osu.edu/blog/tue-01232024-530pm/when-farm-animals-escape-who%E2%80%99s-liable

    Blog Subscriptions ...

  4. Calibrating Boom Sprayers for Forestry Herbicide Application

    https://ohioline.osu.edu/factsheet/fabe-529

    bring the error margin between the new and the old nozzle within 10 percent of the new nozzle flow rate, ... pressure. Do any of these four nozzles need to be replaced? First, determine the +/- 10 percent error margin ... to bring the application error within +/- 5 percent of the intended (recommended) rate. Small errors ...

  5. Alexis Londo

    https://senr.osu.edu/our-people/alexis-londo

    classification errors on bias and variance of inventory estimates: A forest inventory case study Date published: ... of landsat image strata classification errors on bias and variance of inventory estimates: A forest ...

  6. Are the USDA forecasts rational?

    https://aede.osu.edu/news/are-usda-forecasts-rational

    are minimizing their loss due to forecast errors. Bora, Katchova, and Kuethe (2020) evaluate the ... places different weights on under- and over-prediction errors. For example, in case of net cash income ... cost associated with over-prediction errors. This approach is different from traditional studies, which ...

  7. A Diet Is Only as Good as the Data Used to Formulate I

    https://dairy.osu.edu/newsletter/buckeye-dairy-news/volume-16-issue-4/diet-only-good-data-used-formulate-i

    usually caused by human error (for example very small differences in weighing), instrument calibrations, ... to as sampling error). For corn silage, two samples could have different NDF concentrations because ... another sample is taken next week and it is 45% NDF, if that difference was caused by sampling error (in ...

  8. Fertility Calculator for Ohio Recommendations- Version Update

    https://agcrops.osu.edu/newsletter/corn-newsletter/2021-03/fertility-calculator-ohio-recommendations-version-update

    https://go.osu.edu/ohiofertilitytool. The Fertilizer Calculator for Ohio (Version 2021) corrects an error in calculating whole field ... data lines. Supports copying data soil test data from another spreadsheet or within the spreadsheet. ...

  9. C.O.R.N. Newsletter 2005-39

    https://agcrops.osu.edu/newsletters/2005/39

    allowed emerging adult rootworm beetles to be trapped in jars lined with tanglefoot. Trap jars were ... a well-designed experiment. Error – deviation of a measurement from the true value (usually caused by variation in ... Experimental error –differences in observations from treatments due to environmental conditions that can not be ...

  10. AEDE’s Ani Katchova and Siddhartha Bora win Outstanding Research Award from AAEA-AFM section

    https://aede.osu.edu/news/aede%E2%80%99s-ani-katchova-and-siddhartha-bora-win-outstanding-research-award-aaea-afm-section

    errors.  Using a novel multivariate asymmetric framework, the authors show that USDA forecasts are ... rational under the assumption that USDA places different weights on under- and over-prediction errors. This ... over-prediction errors by minimizing a mean square (MSE) loss. In addition, they estimate the forecaster’s loss ...

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