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Automatic Detection of White Grapes in Natural Environment Using Image Processing

机译:利用图像处理技术在自然环境中自动检测白葡萄

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The rate of adoption of Precision Agriculture and Precision Viticulture production systems in the Douro Demarcated Region remains low. We believe that one way to raise it is to address challenging real-world problems whose solution offers a clear benefit to the viticulturist. For example, one of the most demanding tasks in wine making is harvesting. Even for humans, the detection of grapes in their natural environment is not always easy. White grapes are particularly difficult to detect, since their color is similar to that of the leafs. Here we present a low cost system for the detection of white grapes in natural environment color images. The system also calculates the probable location of the bunch stem and achieves 91% of correct classifications.
机译:杜罗划界地区的精准农业和精准葡萄栽培生产系统的采用率仍然很低。我们认为,提高它的一种方法是解决具有挑战性的现实问题,这些问题的解决方案为葡萄种植者带来了明显的好处。例如,葡萄酒酿造中最艰巨的任务之一就是收获。即使对于人类,在自然环境中检测葡萄也不总是那么容易。白葡萄特别难以检测,因为它们的颜色类似于叶子的颜色。在这里,我们提出了一种用于在自然环境彩色图像中检测白葡萄的低成本系统。该系统还计算束茎的可能位置,并达到91%的正确分类。

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