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Multi-variable model for identifying crop response zones in a field

机译:用于识别田间作物响应区的多变量模型

摘要

An computer implemented apparatus and method are disclosed for defining areas of a field in which a crop or other vegetation is grown based on their selective ability to grow such vegetation through a growing season, or some shorter preselected time period. The method includes making a number of temporally separated measurements through air borne imaging of a field, registering the data to the geography of the field and each other, normalizing the data including converting the data to a vegetative index indicative to the presence of vegetation in the field, comparing the data to identify clusters of like value, and classifying the clusters and images to learn how the different field areas responded in growing vegetation through the season. With this method, the field may be segregated into a number of like areas called crop response zones which exhibit similar vegetative growth characteristics as an aid to a grower in his decision making regarding how to maximize yield in his field.
机译:公开了一种计算机实现的装置和方法,该装置和方法用于基于在整个生长季节或更短的预选时间段内生长作物或其他植被的选择性能力来定义在其中种植作物或其他植被的区域。所述方法包括通过田间空气传播成像进行多个时间上分开的测量,将数据注册到田间的地理环境,以及相互归一化,对数据进行归一化包括将数据转换为指示植被存在的植物生长指数。领域,比较数据以识别具有相同价值的聚类,并对聚类和图像进行分类,以了解整个田间不同田间区域对生长中的植被有何反应。用这种方法,田地可以被分成许多称为作物响应区的类似区域,这些区域表现出相似的营养生长特性,以帮助种植者决定如何最大化其田间产量。

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