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Vegetation measurement using image processing methods

机译:使用图像处理方法进行植被测量

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Measurable value of the vegetation cover is an important parameter widely used to estimate the yield, to estimate the agricultural loss (because of illness, pests, freezing, etc.), to be informed about land use, vegetation analysis, desertification and degradation etc. The current methods of measuring vegetation cover are performed into two ways; field measurements and remote sensing techniques. Traditionally, field measurements are made subjectively by visual assessment and it is very time consuming. Use of digital camera images for measuring vegetation cover is flexible and low cost method for monitoring the change of the land surface. In this work, the aim is to determine the rate of vegetation cover of wheat fields by benefiting from images captured at different phenological periods of wheat using image processing techniques.
机译:植被覆盖度的可测量值是广泛用于估算产量,估算农业损失(由于疾病,害虫,冰冻等),了解土地利用,植被分析,荒漠化和退化等方面的重要参数。当前的测量植被覆盖率的方法有两种:现场测量和遥感技术。传统上,现场测量是通过视觉评估来主观进行的,这非常耗时。数码相机图像用于测量植被覆盖率是一种灵活且低成本的方法,用于监视土地表面的变化。在这项工作中,目的是通过利用图像处理技术,利用在小麦不同物候期捕获的图像,来确定麦田的植被覆盖率。

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