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Testing of Handheld Grain Moisture Meters on Shelled and Whole Pod Peanuts

机译:在炮弹和整个豆荚花生上的手持谷物水分测试

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For peanut yield monitoring it has been demonstrated that determination of peanut moisture content may be useful in reducing yield prediction error. There are no commercially available technologies that provide accurate means of measuring moisture content of whole pod peanuts. In this study, two hand held grain m&sture meters were evaluated for use in determination of shelled and whole pod peanut moisture content. The meter readings were compared to oven-dried moisture contents using ASAE S410.2. Whole pod moisture contents were measured on 38 samples of Virginia and 10 samples of runner type peanuts using a Dickey John M3G handheld moisture meter. A regression model was developed to adjust the meter readings as a function of the oven dried moisturecontents. The results from the whole pod moisture tests demonstrated an average absolute prediction error of 1.9 %MC, or 10.3% average absolute error. Shelled moisture contents were measured on 31 samples of Virginia type peanuts using a Dickey John mini GAC plus grain moisture tester and a regression model was developed as described above. The results from the shelled moisture tests demonstrated an average absolute prediction error of 1.3 %MC, or 7.5% average absolute error. The kernel moisture samples were subsamples of larger samples for which oven dried moisture whole pod content was also determined. This allowed comparison of whole pod to kernel moisture content for the 31 samples. The results of the whole pod tests are suggestive that dielectricmethods already used for determining grain moisture content may be viable for on-the-go non-destructive moisture determination on peanut combines, but that the accuracy will be less than that experienced when using the same devices for measuring grain moisture.
机译:对于花生产量监测,已经证明了花生水分含量的测定可用于降低产量预测误差。没有商业上可获得的技术,可提供准确的测量整个豆荚花生含量的方法。在这项研究中,评估了两只手饲养的谷物M和施用仪表用于测定壳和整个豆荚的水分含量。使用ASAE S410.2将仪表读数与烘箱干燥的水分含量进行比较。使用Dickey John M3G手持水分仪测量整个Pod水分含量和10个跑步者类型花生样品。开发了一种回归模型,以调整仪表读数作为烤箱干燥的湿润物的函数。整个POD水分测试的结果证明了1.9%MC的平均绝对预测误差,或者平均绝对误差10.3%。用Dickey John Mini Gac Plus晶粒水分测试仪测量壳的水分含量,测量了31种弗吉尼亚型花生,并如上所述开发回归模型。壳体水分测试的结果证明了1.3%MC的平均绝对预测误差,或7.5%的平均绝对误差。核水分样品是较大样品的副样品,其中还测定了烘箱干燥水分整体豆荚含量。这允许将整个豆荚与31个样品进行核水分含量的比较。整个Pod试验的结果暗示着,已经用于确定晶粒水分含量的电介质方法对于花生的无损性湿度测定可能是可行的,但准确性将小于使用相同时的经历用于测量晶粒水分的装置。

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