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STATE OF THE ART REMOTE SENSING TECHNOLOGY FOR OIL PALM MANAGEMENT IN INDONESIA

机译:印度尼西亚石油棕榈管理艺术遥感技术的状态

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The oil palm industry is one of the most important sources of revenue for Indonesia but there are still many challenges that must be faced by the palm oil plantation management, one of which is to maintain production sustainability. The problem of palm oil plantations related to land resources requires effective and efficient technology inputs. Remote Sensing technology is one of the inputs that can be used as one of the decision support system (DSS) to decide the problem spatially quickly, accurately and dynamically. However, remote sensing technology has not been applied in Indonesian palm oil plantations. It is because of tropical climate conditions that tend to be covered with clouds that can inhibit the performance of remote sensing technology. Purpose this study is to review utilization of remote sensing technology in palm oil plantation in Indonesia. Based on the our review we found some journal paper in remote sensing application for oil palm from 1999 until now (2017). Remote sensing technology will produce a data in the form of description of palm oil conditions in the field which the data must be processed and re-analyzed using a customized method of management needs. The results revealed that remote sensing technology was able to provide output in the form of land mapping, tree volume estimation, palm fruit classification, palm oil growth, estimated age of plant, biomass estimates, palm oil productivity estimates, health detection and accurate mapping of palm oil diseases using the right method and opportunity the remote sensing application for oil palm management on the future in Indonesia
机译:油棕行业是印度尼西亚最重要的收入来源之一,但仍有许多挑战必须面临着棕榈油种植园管理,其中一个是保持生产可持续性。与土地资源有关的棕榈油种植园的问题需要有效高效的技术投入。遥感技术是可以用作决策支持系统(DSS)之一的输入之一,以便在空间快速,准确,动态地确定问题。然而,遥感技术尚未应用于印度尼西亚棕榈油种植园。它是因为热带气候条件,往往会覆盖云,可以抑制遥感技术的性能。目的本研究是审查印度尼西亚棕榈油种植园遥感技术的利用。根据我们的评论,我们发现了一些关于1999年的油棕的遥感申请中的一些期刊纸张,直到现在(2017年)。遥感技术将以手掌油条件的描述形式的数据产生数据,这些数据必须使用自定义的管理需求进行处理和重新分析数据。结果表明,遥感技术能够以陆地映射,树木体积估计,棕榈果分类,棕榈油生长,植物估计年龄,生物量估算,棕榈油生产力估算,健康检测和准确绘图的形式提供产出棕榈油疾病利用正确的方法和机会在印度尼西亚未来的遥感申请油棕管理

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