Apples emit a volatile organic compounds during the ripening process named ethylene, which can be used to infer the optimal harvest time. Currently, the fruit ethylene emission is assessed in controlled facilities, thus laborious and expensive. This article pioneers the study of assessing ethylene emissions in uncontrolled environments. However, understanding how the ethylene spatial temporal dynamics in an open field, its still elusive. Therefore, this paper provides a model from an (Malus domestica Borkh) apple orchard for simulation and analysis of ethylene behaviour. We demonstrate that the model is able to explain the ethylene emissions behaviour in an orchard field when subject to different wind speeds, directions and ripeness stages. Based on that we have investigated different sampling schemes—regular and random—for capturing the variability of ethylene in an orchard using an electrochemical gas sensor. These results show that a random sampling scheme performs 25% better than an equivalent regular-defined grid. Moreover, the measurements acquired locally in the rows tend to be 10% more reliable than in other locations from the orchard. Finally, the ethylene variability can be assessed with a confidence of 75% using 4 and 16 sampling points.

苹果在成熟过程中会释放出挥发性有机化合物，称为乙烯，可用于推断最佳收获时间。目前，水果乙烯排放量是在受控设施中评估的，因此费力且昂贵。本文开创了在不受控制的环境中评估乙烯排放的研究。然而，了解乙烯在开放领域中的空间时空动态如何仍难以捉摸。因此，本文提供了来自（Malus domesticaBorkh）苹果园，用于乙烯行为的模拟和分析。我们证明了该模型能够解释风速，风向和成熟阶段不同时果园中乙烯的排放行为。基于此，我们研究了使用电化学气体传感器捕获果园中乙烯变异性的不同采样方案（常规采样和随机采样）。这些结果表明，随机采样方案的性能比等效的常规定义网格好25％。此外，在行中本地获取的测量结果比在果园中其他位置获得的可靠性更高10％。最后，可以使用4和16个采样点以75％的置信度评估乙烯的变异性。