首页> 外文期刊>Journal of food, agriculture & environment >Oil palm fresh fruit bunches (FFB) growth determination system to support harvesting operation.
【24h】

Oil palm fresh fruit bunches (FFB) growth determination system to support harvesting operation.

机译:油棕新鲜水果束(FFB)生长确定系统可支持收割作业。

获取原文
获取原文并翻译 | 示例
       

摘要

Oil palm fresh fruit bunches (FFB) need to be harvested at the optimum maturity stage to optimise the quality of palm oil. Currently the oil palm harvester manually determines the FFB maturity based natural indicators such as FFB color appearance and number of FFB loose fruit drops under the tree. During executing the harvesting operation the harvester need to search for a ripe FFB and at the same time carrying the harvesting pole. Tedious harvesting operation degrades the consistency of their judgment. The harvested FFB must be screened at the oil palm mill to separate into groups of maturity level according to the standard. A computer application called Maturity Table was developed to manage the FFB maturity information in form of digital images. The development of FFB from the anthesis to harvesting stage was monitored by using a handy digital camera. The digital images of the FFB were processed by using digital image processing techniques to extract the color that represent the maturity stages. As a result from the analysed image information and tabulated data in Maturity Table, a relationship of FFB color changing and maturity stages were investigated. The processed information also enables the development of a map displaying the location of FFB and the maturity stages. The developed map can be used as a support system in harvesting operation. This support system enables site specific harvesting at optimum maturity stage, overcome losses due uncollected loose fruit, potential application to eliminate FFB screening process at oil palm mill level and potential tool to predict FFB yield as well as plantation resources management.
机译:需要在最佳成熟阶段收获油棕新鲜水果束(FFB),以优化棕榈油的质量。当前,油棕收割机手动确定基于FFB成熟度的自然指标,例如FFB颜色外观和树下FFB散果滴的数量。在执行收割操作期间,收割机需要寻找成熟的FFB,并同时携带收割杆。繁琐的收割操作会降低其判断的一致性。收获的FFB必须在油棕工厂中进行筛选,以根据标准分成成熟水平组。开发了一种称为“成熟度表”的计算机应用程序,用于以数字图像的形式管理FFB成熟度信息。通过使用便携式数码相机来监控FFB从花期到收割期的发育情况。通过使用数字图像处理技术处理FFB的数字图像,以提取代表成熟阶段的颜色。根据分析的图像信息和成熟度表中的列表数据,研究了FFB颜色变化和成熟阶段之间的关系。处理后的信息还可以开发显示FFB位置和成熟阶段的地图。所开发的地图可以用作收割作业的支持系统。该支持系统能够在最佳成熟阶段进行特定地点的收获,克服因未收集到的散果造成的损失,可以消除油棕厂一级的FFB筛选过程,并有可能用于预测FFB产量以及种植资源管理的潜在工具。

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