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Agricultural Crop Forecasting for Large Geographical Areas

机译:大地理区域的农业作物预测

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摘要

Crop forecasting is important to national and international trade and food security. Although sample surveys continue to have a role in many national crop forecasting programs, the increasing challenges of list frame undercov-erage, declining responserates, increasing response burden, and increasing costs are leading government agencies to replace some or all of survey data with data from other sources. This article reviews the primary approaches currently being used to produce official statistics,including surveys, remote sensing, and the integration ofthese with meteorological, administrative, or other data. The research opportunities for improving current methods of forecasting crop yield and quantifying the uncertainty associated with the prediction are highlighted.
机译:作物预测对国家和国际贸易和粮食安全至关重要。 虽然样本调查在许多国家作物预测方案中继续发挥作用,但尚未挑战列表框架的挑战,折扣率下降,响应负担的增加,增加成本是领先的政府机构,以取代来自的数据的一些或全部调查数据 其他来源。 本文审查了目前用于生产官方统计数据的主要方法,包括调查,遥感和与气象,行政或其他数据的集成。 突出了改善预测作物产量和量化与预测相关的不确定性的现有方法的研究机会。

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