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首页> 外文期刊>Agricultural Engineering International: CIGR Ejournal >Evaluation of yield monitoring system installed on indigenous grain combine harvester for rice crop
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Evaluation of yield monitoring system installed on indigenous grain combine harvester for rice crop

机译:稻谷本地联合收割机上安装的产量监测系统的评价

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摘要

Precision agriculture is a methodology to identify and exploit variability within an agricultural field. In India, a yield is measured during marketing of harvested crop and as a gross yield of the land owned by the farmer. The yield monitor mounted over grain combine harvester measures and records information such as grain flow, grain moisture, area covered and location. An automated yield monitoring system consisting of a yield sensor, global positioning system (GPS), field computer with custom software was mounted on a self propelled indigenous grain combine harvester for real-time crop yield mapping along with moisture data. By means of optical sensors (light emitter and detector), the height of the grain on the elevator paddles was measured and converted in the grain mass flow. Three rice fields were harvested to evaluate the performance of the yield monitor for grain yield and moisture mapping of harvested grains. The actual yield maps were generated by using Arc GIS software from the data collected for three different rice fields. The total area harvested by using indigenous combine harvester fitted with yield monitor and moisture sensor was 0.84 ha comprising three fields (1, 2 and 3) having areas 0.3, 0.22 and 0.32 ha respectively. On an average, yields for all the three fields (1, 2 and 3) were 4,325.91, 5,093.14 and 4,287.66 kg ha-1 with moisture content of 21.42%, 22.78% and 20.42% (wet basis) recorded respectively. On an average, yield variations recorded for all the three fields (1, 2 and 3) were having 30.59%, 40.80% and 40.39% coefficient of variation respectively. The minimum and maximum yields recorded within all the fields harvested were 577.08 and 7,661.48 kg ha-1 with an average yield of 4,287.66 kg ha-1 having 37.26% coefficient of variation (CV) in all the three fields.
机译:精确农业是一种在农业领域内识别和利用变异性的方法。在印度,单产是在销售收获的农作物时测得的,并作为农民拥有的土地的总产量。安装在谷物联合收割机上方的产量监控器可测量并记录信息,例如谷物流量,谷物水分,覆盖面积和位置。由产量传感器,全球定位系统(GPS),带有定制软件的现场计算机组成的自动化产量监测系统安装在自走式本地谷物联合收割机上,用于实时绘制作物产量以及湿度数据。借助光学传感器(发光器和检测器),测量升降机拨片上的谷物高度并将其转换为谷物质量流量。收获了三个稻田,以评估产量监控器对谷物产量和收获谷物水分测绘的性能。使用Arc GIS软件从针对三个不同稻田收集的数据生成实际产量图。使用配备了产量监测器和湿度传感器的本地联合收割机,收割的总面积为0.84公顷,包括三个面积分别为0.3、0.22和0.32公顷的田地(1、2和3)。三个字段(1、2和3)的平均产量分别为4,325.91、5,093.14和4,287.66 kg ha-1,分别记录的含水量为21.42%,22.78%和20.42%(湿基)。平均而言,所有三个字段(1、2和3)记录的产量变化分别具有30.59%,40.80%和40.39%的变化系数。在所有收获的田地中记录的最小和最大单产分别为577.08和7661.48 kg ha-1,三个田地的平均单产为4287.66 kg ha-1,变异系数(CV)为37.26%。

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