Terrestrial laser scanning technology is an advanced active remote sensing ranging method that is well suited for yielding high-resolution scans of the morphology of a tree, which is an indicator of the health of the plant. The Ganoderma boninense fungus causes basal stem rot (BSR), which threatens the oil palm industry in Malaysia. To date, the current practice of inspection in a plantation is conducted every 6 months. Monitoring the progress with a closer gap is required to comprehend if any changes can be seen earlier than 6 months. Therefore, the objectives of this study were to identify the most suitable parameters of the oil palm trees to detect the BSR disease based on temporal laser scanning data and to identify suitable time frames for monitoring the progress of the symptoms of the disease. Terrestrial laser scanning data was used to analyse changes in the crown and frond metrics of oil palm trees with two different scan durations i.e., 2- and 4-months after the first scan. This spatio-temporal data is important in the precision agriculture field for better oil palm management, to understand the disease development for long-term solutions and also to provide a fast response so that appropriate treatment can be given to the palm as early as possible. Statistical analyses, i.e., the Kruskal–Wallis test with α = 0.05 and the Wilcoxon post-hoc test, were conducted to determine significant differences in the parameters at different points in time. The results show that crown strata number 17 (850 cm from the top) and the crown area were the most suitable parameters to be used. Furthermore, the oil palm trees with BSR can be detected by comparing the 4-month scan or the second 2-month scan. The results have shown that the effect of Ganoderma boninense infection can be differentiated at the later stage. In conclusion, the changes can be measured at 4-months after the first inspection, thus helping to preventing crop losses.

地面激光扫描技术是一种先进的主动遥感测距方法，非常适合对树木的形态进行高分辨率扫描，这是植物健康的指标。该灵芝boninense真菌导致基部茎腐病 (BSR)，威胁着马来西亚的油棕产业。迄今为止，目前对种植园的检查是每 6 个月进行一次。需要以更紧密的差距监控进度，以了解是否可以在 6 个月之前看到任何变化。因此，本研究的目的是确定油棕树的最合适参数，以根据时间激光扫描数据检测 BSR 病害，并确定合适的时间范围来监测疾病症状的进展。地面激光扫描数据用于分析油棕树冠和叶指标的变化，具有两种不同的扫描持续时间，即第一次扫描后的 2 个月和 4 个月。这种时空数据在精准农业领域对于更好的油棕管理很重要，了解疾病的发展以获得长期解决方案，并提供快速反应，以便尽早对手掌进行适当的治疗。进行统计分析，即 α = 0.05 的 Kruskal-Wallis 检验和 Wilcoxon 事后检验，以确定不同时间点参数的显着差异。结果表明，冠层编号 17（距顶部 850 cm）和冠层面积是最适合使用的参数。此外，可以通过比较 4 个月的扫描或第二次 2 个月的扫描来检测具有 BSR 的油棕树。结果表明，效果 ，进行了 α = 0.05 的 Kruskal-Wallis 检验和 Wilcoxon 事后检验，以确定不同时间点参数的显着差异。结果表明，冠层编号 17（距顶部 850 cm）和冠层面积是最适合使用的参数。此外，可以通过比较 4 个月的扫描或第二次 2 个月的扫描来检测具有 BSR 的油棕树。结果表明，效果 ，进行了 α = 0.05 的 Kruskal-Wallis 检验和 Wilcoxon 事后检验，以确定不同时间点参数的显着差异。结果表明，冠层编号 17（距顶部 850 cm）和冠层面积是最适合使用的参数。此外，可以通过比较 4 个月的扫描或第二次 2 个月的扫描来检测具有 BSR 的油棕树。结果表明，效果 可以通过比较 4 个月扫描或第二次 2 个月扫描来检测带有 BSR 的油棕树。结果表明，效果 可以通过比较 4 个月扫描或第二次 2 个月扫描来检测带有 BSR 的油棕树。结果表明，效果可以在后期鉴别灵芝感染。总之，可以在第一次检查后的 4 个月内测量变化，从而有助于防止作物损失。