A management Opportunity Index for Precision Agriculture.
A management Opportunity Index for Precision Agriculture.
复制标题
精准农业管理机会指数。
DOI：
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发表时间：
2000
期刊：
影响因子：
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通讯作者：
M. Pringle
中科院分区：
文献类型：
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作者：
A. McBratney;B. Whelan;J. Taylor;M. Pringle
许多农民正在采用新兴技术来应对其生产系统中的变化。这些技术中最常见的是实时产量传感器。然而，农民们经常想知道如何使用随后的产量图来证明向精准农业管理理念的转变是合理的。机会指数试图为这一问题提供一个务实的解决方案。特定地点作物管理的机会指数（SSCM）取决于三个组成部分：i）产量图中相对于给定阈值的变异幅度（CVa）; ii）产量变异的空间结构（S），相对于可变速率控制器可以可靠运行的最小区域; iii）SCCM相对于统一管理的经济和环境效益（E）。提出了产量图变异幅度和空间结构的评估方法。然后将这些方法纳入机会指数，以预测SSCM的潜力。结果是令人鼓舞的，但进一步的研究，特别是对经济和环境的影响，SSCM需要之前，机会指数可以被认为是完整的。
Many farmers are employing emerging technologies to characterise the variation in their production systems. The most common of these technologies are real-time yield sensors. Farmers, however, are often left wondering how the subsequent yield maps can be used to justify a change to a Precision Agriculture management philosophy. The Opportunity Index is an attempt to provide a pragmatic solution to this problem. The Opportunity Index for Site-Specific Crop Management (SSCM) is conditional on three components: i) the magnitude of variation (CVa) present in a yield map, relative to a given threshold; ii) the spatial structure (S) of yield variation, relative to the minimum area within which variable-rate controllers can reliably operate; and, iii) the economic and environmental benefit (E) of SCCM relative to uniform management. Methods for assessing the magnitude and spatial structure of variation in yield maps are proposed. These methods are then incorporated into an Opportunity Index to predict the potential for SSCM. Results are encouraging however further research especially into the economic and environmental impact of SSCM is required before the Opportunity Index can be considered complete.