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Assessment of crop yield estimation methods.

机译:评估农作物产量估算方法。

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摘要

Because of the population increment in the world, there is a growing need for micro-level planning and particularly the demand for crop insurance which increases the need for field level yield statistics. Therefore, from economic point of view, accurate and fast crop yield estimation is very important in national and regional scale. There are two methods for crop yield estimation viz., (1) Conventional methods and (2) Methods based on remote sensing data. Conventional methods are often complicated, costly, time consuming and they cannot be run in large scales. Therefore, it is necessary to use cheaper/faster methods for crop yield estimation. Remote sensing data have the potential and the capacity to provide spatial information at global scale; of features and phenomena on earth on an almost real-time basis. They have the potential not only in identifying crop classes but also of estimating crop yield. In this paper first, conventional methods and their disadvantages are reviewed. Then crop yield estimation methods based on remote sensing data were compared to each other and their advantages and disadvantages were discussed.
机译:由于世界上人口的增长,对微观计划的需求不断增长,尤其是对农作物保险的需求,这增加了对田间产量统计的需求。因此,从经济的角度来看,准确和快速的农作物产量估算在国家和地区规模上非常重要。有两种估计作物产量的方法,即(1)常规方法和(2)基于遥感数据的方法。常规方法通常是复杂的,昂贵的,费时的,并且它们不能大规模运行。因此,有必要使用更便宜/更快的方法进行农作物产量估算。遥感数据具有在全球范围内提供空间信息的潜力和能力;几乎实时地了解地球上的特征和现象。它们不仅具有识别作物种类的潜力,而且还具有估计作物产量的潜力。首先,本文综述了常规方法及其缺点。然后将基于遥感数据的农作物产量估算方法进行了比较,并讨论了它们的优缺点。

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