Fruit logistics during harvesting involves a large-scale deployment of material and human resources. In olive groves and, for small producers, the operation can be carried out in different ways, however, none of these allow a production monitoring or traceability of the harvested fruit. This study presents a compatible methodology with the usual harvesting logistics employed for harvest monitoring. The procedure uses a mechanical system for loading and unloading big bags of fruit weighing approximately 200 kg with a loading arm that can be adapted to a conventional trailer. An electronic system connected to a cloud application is installed on the trailer for geo-referenced recording of the yield. Tests to determine the accuracy of the Global Navigation Satellite System (GNSS) reported values of around 19 mm and 590 mm for the system with and without corrections, respectively, using the Networked Transport of RTCM via Internet Protocol (NTRIP). The error determination tests of the loading bolt weighing system showed high accuracy and linearity with a mean absolute error of 1.1 ± 0.99 kg. The complete system was tested in a traditional olive grove and an intensive olive grove. The harvest maps generated allowed the yield visualisation and to keep a traceability record of the harvested fruit batches. Application of the proposed methodology and systems presents a reduced operation time between loading and unloading of consecutive fruit batches (~ 2.5 min). The proposed system would be useful for small producers with limited resources who need to control production and fruit traceability on their farm.

采收期间的水果物流涉及大规模的物资和人力资源调配。在橄榄园中，对于小生产者来说，可以以不同的方式进行操作，但是，这些方式都无法对收获的果实进行生产监控或可追溯性。这项研究提出了一种与用于收获监测的常用收获物流兼容的方法。该程序使用机械系统装载和卸载重约 200 公斤的大袋水果，并配有可适应传统拖车的装载臂。拖车上安装了连接到云应用程序的电子系统，用于对产量进行地理参考记录。确定全球导航卫星系统 (GNSS) 精度的测试报告显示，使用通过互联网协议 (NTRIP) 进行 RTCM 网络传输时，经过校正和未经校正的系统的精度分别约为 19 毫米和 590 毫米。加载螺栓称重系统的误差测定测试显示出较高的精度和线性度，平均绝对误差为1.1±0.99 kg。整个系统在传统橄榄园和密集橄榄园中进行了测试。生成的收获图可以实现产量可视化并保留收获水果批次的可追溯性记录。应用所提出的方法和系统可以缩短连续批次水果的装载和卸载之间的操作时间（约 2.5 分钟）。拟议的系统对于资源有限、需要控制农场生产和水果可追溯性的小生产者来说非常有用。