Sustainable precision agriculture requires site-specific management procedures. This needs appropriate information combining traditional measured data and mapped conditions, models, and specific interpretation. It is impossible to cover the entire variety of sites in the territory with measuring devices, and therefore the measured data are insufficient for a detailed description of changing conditions on each geographical unit. However, detailed data on the morphology and pedologic conditions are usually available, and their synthesis creates the basis for detailed interpolation of the entire area’s measured data and mapping. This article presents a procedure for the synthesis of morphometric and soil indices resulting in the definition and mapping of morpho-pedotops, the interpretation of their thermal–moisture condition, and, consequently, the comparison of these conditions with the condition on the sites with installed sensor stations. This procedure enables reasonable logic interpolation of the measured microclimatic data by sensor stations to the whole study area. The result is the definition of the thermal–moisture condition of the whole territory in comparison to the measured sites. Therefore, the results provide the basis for interpolation for the forecast of climatic events developed for the sites of sensor stations to the whole study area and the forecast of temporal disease events, and thus the basis for precise site-specific field management interventions, even in the case of the lack of the whole area covering measured data.

中文翻译：

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在不丢失正确信息的情况下，对多样化领土决定性栽培条件缺乏测量数据的补偿

可持续精准农业需要特定地点的管理程序。这需要结合传统测量数据和映射条件、模型和特定解释的适当信息。测量设备不可能覆盖领土内的所有地点，因此测量数据不足以详细描述每个地理单元的变化情况。然而，关于形态和土壤条件的详细数据通常是可用的，它们的综合为整个区域测量数据和绘图的详细插值奠定了基础。本文介绍了合成形态测量指标和土壤指标的程序，从而定义和绘制了形态表土，解释了它们的热-湿度条件，因此，将这些条件与安装了传感器站的站点上的条件进行比较。该程序使传感器站对整个研究区域的测量小气候数据进行合理的逻辑插值。结果是与测量地点相比，整个领土的热湿条件的定义。因此，该结果为传感器站站点开发的气候事件预测到整个研究区域和时间疾病事件的预测提供了基础，从而为精确的站点特定现场管理干预提供了基础，即使在缺少覆盖整个区域的测量数据的情况。该程序使传感器站对整个研究区域的测量小气候数据进行合理的逻辑插值。结果是与测量地点相比，整个领土的热湿条件的定义。因此，该结果为传感器站站点开发的气候事件预测到整个研究区域和时间疾病事件的预测提供了基础，从而为精确的站点特定现场管理干预提供了基础，即使在缺少覆盖整个区域的测量数据的情况。该程序使传感器站对整个研究区域的测量小气候数据进行合理的逻辑插值。结果是与测量地点相比，整个领土的热湿条件的定义。因此，该结果为传感器站站点开发的气候事件预测到整个研究区域和时间疾病事件的预测提供了基础，从而为精确的站点特定现场管理干预提供了基础，即使在缺少覆盖整个区域的测量数据的情况。