Single-grip harvesters are equipped with an on-board computer that can normally collect standardized data. In times of increased mechanization, digitalization and climate change, use of this extensive data could provide a solution for better managing calamities-outbreaks and gaining competitiveness. Because it remains unclear in which way harvester data can contribute to this and optimization of the forest supply chain, the focus of this review was to provide a synopsis of how harvester data can be used and present the main challenges and opportunities associated with their use. The systematic literature review was performed with Scopus and Web of Science in the period from 1993 to 2019. Harvester data in form of length and diameter measurements, time, position and fuel data were used in the fields of bucking, time study, inventory and forest operation management. Specifically, harvester data can be used for predicting stand, tree and stem parameters or improving and evaluating the bucking. Another field of application is to evaluate their performance and precision in comparison to other time study methods. Harvester data has a broad range of application, which offers great possibilities for research and practice. Despite these advantages, a lack of precision for certain data types (length and diameter), particularly for trees exhibiting complex architecture where the contact of the measuring wheel on the harvesting head to the wooden body cannot be maintained, and position data, due to signal deflection, should be kept in mind.

中文翻译：

---

使用来自车载计算机的收割机数据：回顾主要发现、机遇和挑战

单柄收割机配备了可以正常收集标准化数据的机载计算机。在机械化、数字化和气候变化日益增加的时代，使用这些广泛的数据可以为更好地管理灾难爆发和提高竞争力提供解决方案。由于目前尚不清楚收割机数据可以以何种方式促进森林供应链的优化，因此本次审查的重点是提供有关如何使用收割机数据的概要，并介绍与其使用相关的主要挑战和机遇。1993 年至 2019 年期间使用 Scopus 和 Web of Science 进行了系统的文献综述。 长度和直径测量形式、时间、位置和燃料数据形式的收割机数据用于屈曲、时间研究、库存和森林经营管理。具体来说，收割机数据可用于预测林分、树木和茎的参数或改善和评估屈曲。另一个应用领域是评估与其他时间研究方法相比的性能和精度。收割机数据应用范围广泛，为研究和实践提供了极大的可能性。尽管有这些优点，但某些数据类型（长度和直径）缺乏精度，特别是对于结构复杂的树木，由于信号的原因，无法保持采伐头上的测量轮与木体的接触以及位置数据偏转，应牢记。树和茎参数或改进和评估屈曲。另一个应用领域是评估与其他时间研究方法相比的性能和精度。收割机数据应用范围广泛，为研究和实践提供了极大的可能性。尽管有这些优点，但某些数据类型（长度和直径）缺乏精度，特别是对于结构复杂的树木，由于信号的原因，无法保持采伐头上的测量轮与木体的接触以及位置数据偏转，应牢记。树和茎参数或改进和评估屈曲。另一个应用领域是评估与其他时间研究方法相比的性能和精度。收割机数据应用范围广泛，为研究和实践提供了极大的可能性。尽管有这些优点，但某些数据类型（长度和直径）缺乏精度，特别是对于结构复杂的树木，由于信号的原因，无法保持采伐头上的测量轮与木体的接触以及位置数据偏转，应牢记。