首页> 外文会议>International Symposium of Information Technology >Image Processing of an Agriculture Produce: Determination of Size and Ripeness of a Banana
【24h】

Image Processing of an Agriculture Produce: Determination of Size and Ripeness of a Banana

机译:农业的图像处理产生:法兰的规模和成熟度

获取原文

摘要

Over the last several decades, customers' lifestyles and needs have gone through tremendous changes. These changes are new challenges for the farmers whose produce has to meet the customers' demands. The ability to classify agriculture produce based on size and quality is not only going to help the farmer but also the customer. This will help the farmer to grade the fruit, the seller to price it optimally and the customer value for money. Bananas are classified according to sizes, shapes, textures, colors and taste. The process of getting the size and ripeness of a banana is done from its image using the Image Processing Toolbox in MATLAB. These features are important to determine the optimal size and ripeness. From the size, the grade and type of the banana can be determined. The percentage of ripeness can be determined by evaluating the individual pixels of the image.
机译:在过去的几十年里,客户的生活方式和需求已经经历了巨大的变化。这些变化是农民产生必须满足客户需求的农民的新挑战。基于规模和质量对农业产品进行分类的能力不仅要帮助农民,还可以帮助客户。这将有助于农民级级别,卖家最佳地价格和客户价值。香蕉根据尺寸,形状,纹理,颜色和品味进行分类。通过Matlab中的图像处理工具箱从其图像完成获得Banana的大小和成熟的过程。这些功能对于确定最佳尺寸和成熟很重要。从大小,可以确定香蕉的等级和类型。可以通过评估图像的各个像素来确定成熟的百分比。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号