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Precision nitrogen fertilizer management of maize and cotton using crop sensors

机译:使用作物传感器的玉米和棉质精密氮肥管理

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Nitrogen fertilizer greatly increases crop yields but requires large amounts of energy to produce and has undesirable off-site effects when it escapes from agricultural systems. Precisely matching N fertilizer rates to crop needs maximizes benefits while reducing negative impacts. Soil N supply to crops is spatially variable, so spatial diagnosis is needed to apply optimal N rates. Crop reflectance sensors provide an accurate and spatially-intensive method for diagnosing and applying the correct N rate. We have developed calibrations relating optimal N rate to reflectance ratios for maize and cotton. These calibrations require that sensor reflectance measurements be expressed as a ratio with measurements from high-N areas that are matched in growthstage, genetics, and environment. We have used these calibrations in demonstrating sensor-guided N applications to maize and cotton producers. Side-by-side replicated comparisons of sensor-based variable-rate N and producer-chosen N rates for 53 maize fields resulted in N savings of 16 kg N/ha and a yield increase of 110 kg grain/ha. Results from our first four demonstrations in cotton fields should be available by the time of the congress. Drift of sensors during the course of a day has been an unexpected obstacle and requires frequent re-measurement of the high-N reference area.
机译:氮肥大大增加了作物产量,但需要大量的能量来生产,并且当它从农业系统逃脱时具有不良的场地效果。正好匹配N肥料率以裁剪需求最大限度地提高益处,同时减少负面影响。对作物的土壤供应是空间可变的,因此需要空间诊断来应用最佳N率。裁剪反射传感器提供了一种准确和空间密集的方法,用于诊断和应用正确的N速率。我们开发了与玉米和棉花的反射比率相关的最佳N速率相关的校准。这些校准要求传感器反射率测量结果表示为与在生长期,遗传和环境中匹配的高N区域的测量的比率。我们使用这些校准在将传感器引导的N应用证明到玉米和棉花生产商。侧由端复制的基于传感器的可变率N比较和生产者选择之N率53个玉米田导致16公斤/公顷N个储蓄和110公斤的粮食产量增加/公顷。我们的前四名棉花领域演示的结果应在国会时代提供。在一天中的传感器漂移是一个意想不到的障碍,需要频繁地重新测量高N参考区域。

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