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Segmentation of Arecanut Bunches using HSV Color Model

机译:使用HSV颜色模型分割Arecanut束

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摘要

Arecanut is one of the commercial crop of south India. Arecanut maturity level decides its price in the market. To maximize the profitability, Farmer needs expertise to determine the maturity level of Arecanut. This lack of ability leads to low profit for their crops. Use of Image Processing and Computer Vision techniques in precision agriculture allowed farmers to take necessary steps to harvest by identifying the maturity level of fruits and vegetables. To identify maturity level segmentation of Arecanut bunches is required for automated expertise. In this paper, proposed a segmentation method to segment Arecanut bunches using HSV color model towards the view of identifying automatic maturity level of arecanut bunches. The results of experiment clarifies the proposed method effectiveness which is better to segment the arecanut bunches for future analysis.
机译:槟榔是印度南部的商业作物之一。槟榔成熟度决定了它在市场上的价格。为了最大化获利能力,Farmer需要专业知识来确定Arecanut的成熟度。这种能力的缺乏导致他们的农作物利润低下。在精密农业中使用图像处理和计算机视觉技术使农民能够通过确定水果和蔬菜的成熟程度,采取必要的收获步骤。为了识别Arecanut束的成熟度级别,自动化专家需要进行分段。针对识别槟榔束自动成熟度的问题,提出了一种利用HSV颜色模型对槟榔束进行分割的方法。实验结果阐明了所提出的方法的有效性,该方法更好地分割了槟榔束以便将来分析。

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