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Embracing the Emerging Precision Agriculture Technologies for Site-Specific Management of Yield-Limiting Factors

机译:拥抱新兴的精准农业技术进行特定地点的产量限制因素管理

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摘要

Precision agriculture (PA) is providing an information revolution using Global Positioning (GPS) and Geographic Information (GIS) systems and Remote Sensing (RS). These technologies allow better decision making in the management of crop yield-limiting biotic and abiotic factors and their interactions on a site-specific (SSM) basis in a wide range of production systems. Characterizing the nature of the problem(s) and public education are among the challenges that scientists, producers, and industry face when adapting PA technologies. To apply SSM, spatio-temporal characteristics of the problem(s) need to be determined and variations within a field demonstrated. Spatio-temporal characteristics of a given pathogen or pest problem may be known but may not be the only or primary cause of the problem. Hence, exact cause-and-effect relationships need to be established by incorporating GIS, GPS, and RS-generated data as well as possible interactions. Exploiting the potential of PA technologies in sustainable ways depends on whether or not we first ask ''Are we doing the right thing?'' (strategic) as opposed to ''Are we doing it right?'' (tactical).
机译:精准农业(PA)正在使用全球定位(GPS)和地理信息(GIS)系统以及遥感(RS)进行信息革命。这些技术允许在限制产量限制的生物和非生物因子及其在各种生产系统中基于特定地点(SSM)的相互作用的管理中做出更好的决策。表征问题的性质和进行公共教育是科学家,生产者和行业在适应PA技术时面临的挑战。要应用SSM,需要确定问题的时空特征,并证明一个领域内的变化。给定病原体或害虫问题的时空特征可能是已知的,但可能不是问题的唯一或主要原因。因此,需要通过合并GIS,GPS和RS生成的数据以及可能的交互作用来建立确切的因果关系。以可持续的方式利用功率放大器技术的潜力取决于我们是否首先问“我们做对了吗?”(战略)而不是“我们做对了吗?”(战术)。

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