首页> 外文会议>International Conference on Emerging Technologies in Agricultural and Food Engineering >Development of Mathematical Model to Assess Post Harvest Grain Losses in Rice Combine Harvester
【24h】

Development of Mathematical Model to Assess Post Harvest Grain Losses in Rice Combine Harvester

机译:数学模型评估水稻结合收割机后收获谷物损失的数学模型

获取原文

摘要

A study was conducted at Sindhanur and Manvi taluks of Raichur district, Karnataka, India to assess the post harvest grain losses in rice combine harvester, where rice is the predominant crop and the fanners are familiar with Escort (Crop Tiger) type combine harvester. Combine harvester performance and conventional harvesting system were compared by taking samples in fields for two crop seasons in successive years in the study area. Results indicated that the post harvest grain losses were found minimum (2.87%) in rice combine harvester and the cost of operation in conventional harvesting was 2.28 times more. The pay back period was found to be less than one year if the machine could harvest 1000 hectares (ha) per year. A mathematical model is felt necessary to predict post harvest grain losses. A multivariate quadratic type function was found to be appropriate to detect and analyze the joint influence of a set of process variables of the rice combine harvester on another set of crop parameters. The estimated models were used for the quantitative prediction of the harvesting, threshing and separation losses. A "confidence band" was fixed for minimizing the individual losses. The model was confirmed through the Chi-square test for validation. Finally, the model was tested randomly in the study area for different set of parameters. The coefficients were determined using the performance test of observed and modeled values. The model is validated with the Chi-square test and the results were found justifiable in field condition.
机译:在印度卡纳塔卡·卡纳塔卡·卡纳塔卡·勒基塔·区的Sindhanur和Manvi Taluks进行了一项研究,以评估水稻结合收割机的收获后谷物损失,其中水稻是主要的作物,扇形熟悉护送(农作物虎)型组合收割机。通过在研究区连续几年在两次作物季节中采取样品来比较收割机性能和常规收集系统。结果表明,水稻结合收割机中最低(2.87%)的收获粒损失最低(2.87%),常规收获的操作成本均为2.28倍。如果机器每年收获1000公顷(HA),则发现支付后期不到一年。有必要进行数学模型来预测收获后谷物损失。发现多变量二次型功能是适当的,以检测和分析米的一组工艺变量对另一组作物参数的过程变量的联合影响。估计的模型用于定量预测收获,脱粒和分离损失。为最小化个体损失来解决“信心乐队”。通过Chi-Square测试确认该模型进行验证。最后,该模型在研究区域中随机测试,以进行不同的参数。使用观察和建模值的性能测试确定系数。该模型用Chi-Square测试验证,结果在现场条件下发现了实际的结果。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号