利用低成本视觉系统预测完整菠萝的大小和重量

Hasan Ali Gamal Al-kaf, K. Chia, Faiz Ridwan Bin Abdul mubin
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引用次数: 1

摘要

不断变化的技术塑造了人们的生活方式,特别是在现代商业和农业领域。如今,菠萝的价格取决于菠萝的大小和菠萝的种类,这与菠萝的质量有关。不同的消费者对购买菠萝的大小和重量有不同的要求。因此,贸易商和农民需要对菠萝的大小进行分类,以更好地了解供需关系,从而使菠萝的价值最大化。因此,本研究提出了一种能够自动确定菠萝的大小(即长度、直径、周长)和重量的系统,以避免人工分拣过程的费力、密集和不一致,以免因分拣错误而损害消费者的利益。对菠萝的不同位置和大小进行了调查研究。将该系统的性能与人工测量方法进行了比较。结果表明,该系统有望进一步开发,以实现尺寸和重量分拣过程的自动化,从而提高消费者的兴趣。
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The Size And Weight Prediction For Intact Pineapples Using A Low Cost Vision System
The ever-changing technology has shaped people’s way of life especially in the modern era of the business and agriculture sectors. Nowa days the price of pineapple depends on the size of the pineapple and also the type of pineapple that are related to the quality of pineapples. Different consumers have different desired size and weight of their purchased pineapples for their purposes. Consequently, traders and farmers need to sort the size of the pineapples to better understand the relationship among supplies and demands so that the values of pineapples can be maximized. Thus, this study proposes a system can automatically determine the size (i.e. length, diameter, and circumference) and the weight of pineapples to avoid laborious intensive and inconsistent manual sorting process that may deteriorate the consumers’ interest due to wrong sorted fruits. Different positions and sizes of pineapples were investigated and studied. The performance of the proposed system was compared with manual measurement method. Results indicate that the proposed system is promising to be further developed to automate the size and weight sorting process that can improve the interest of consumers.
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