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Evaluation of EC-5 Soil Moisture Sensorsfor Real-Time Determination of PoultryManure or Litter Moisture Content

机译:EC-5土壤湿度传感器用于实时测定家禽粪便或凋落物水分含量的评估

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摘要

Moisture content (Ψ) of poultry manure or litter is an important property of the material. Relating manure or litter Ψ to its ammonia (NH3) emission is conducive to assessing and/or controlling real-time ammonia emissions from the manure or litter. However, means to measure manure or litter Ψ on a real-time basis is lacking. This study was carried out to characterize the operational performance of a commercially available soil moisture sensor for measuring Ψ of meat-bird (broiler and turkey) litters and laying-hen manure. The Ψ tested ranged from 27.1% to 65.7% for broiler litter, 22.8% to 56.1% for turkey litter, and 11.0% to 75.0% for layer manure. Bulk density ranged from 318 to 468 kg m-3 (20 to 29 lb ft-3) for the broiler and turkey litters and from 151 to 943 kg m-3(9 to 55 lb ft-3) for laying-hen manure. Linear regression equations were developed to relate the sensor output to Ψ and I for the meat-bird litters and to Ψ for the laying-hen manure, all yielding good fit (R2=0.95 – 0.99). An uncertainty analysis performed on the developed calibration equations revealed average errors in the Ψ estimation of ±7.1% estimated value for the poultry litters and ±6.7% estimated value for the laying-hen manure. Litter temperature was found to have a small impact on Ψ measurement by the sensor, 0.31% of measured mV per °C (0.17% per °F) deviation from the mean operating temperature over the range of 4°C to 24°C (39°F to 75°F). Results of the study indicate that when properly calibrated, the soil moisture sensor offers a reasonable means for real-time measurement of poultry litter or manure moisture content.
机译:家禽粪便或垫料的水分含量(?)是该材料的重要属性。将粪便或垃圾与其氨气(NH3)相关联有助于评估和/或控制粪便或垃圾的实时氨气排放。但是,缺乏实时测量粪便或垃圾的方法。进行这项研究来表征可用于测量肉禽(火鸡和火鸡)垫料和蛋鸡粪便Î的市售土壤湿度传感器的操作性能。测试的范围为27.1%至65.7%的肉鸡垫料,22.8%至56.1%的火鸡垫料和11.0%至75.0%的层肥。肉鸡和火鸡垃圾的堆积密度范围从318到468 kg m-3(20到29 lb ft-3),蛋鸡粪的堆积密度从151到943 kg m-3(9到55 lb ft-3)。线性回归方程式被开发为将传感器输出与and和I(用于禽鸟粪便)和Î(用于产蛋鸡粪)相关,所有这些都产生很好的拟合度(R2 = 0.95 – 0.99)。对开发的校准方程式进行的不确定性分析显示,在估计的±7.1%的家禽垫料和±6.7%的蛋鸡粪便估计值的平均误差。发现垫料温度对传感器的β测量影响很小,从4°C到24°范围内的平均工作温度偏差为每°C的测量mV的0.31%(每°F为0.17%) C(39°F至75°F)。研究结果表明,经过适当校准后,土壤湿度传感器为实时测量家禽垫料或粪便的水分含量提供了一种合理的手段。

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